Dynamic systems for optimization of real-time collaborative intelligence

ABSTRACT

Systems and methods for real-time collaborative computing and collective intelligence are disclosed. A collaborative application runs on a collaborative server connected to a plurality of computing devices. Collaborative sessions are run wherein a group of independent users, networked over the internet, collaboratively answer questions in real-time, thereby harnessing their collective intelligence. Systems and methods for determining a group intent vector from a plurality of user intent vectors in response to user input, the group intent vector including a bias restoring vector to correct positional bias resulting from a target layout.

This application claims the benefit of U.S. Provisional Application No.62/120,618 entitled APPLICATION OF DYNAMIC RESTORING FORCES TO OPTIMIZEGROUP INTELLIGENCE IN REAL-TIME SOCIAL SWARMS, filed Feb. 25, 2015,which is incorporated in its entirety herein by reference.

This application is a continuation-in-part of U.S. application Ser. No.14/668,970 entitled METHODS AND SYSTEMS FOR REAL-TIME CLOSED-LOOPCOLLABORATIVE INTELLIGENCE, filed Mar. 25, 2015, which in turns claimsthe benefit of U.S. Provisional Application 61/970,885 entitled METHODAND SYSTEM FOR ENABLING A GROUPWISE COLLABORATIVE CONSCIOUSNESS, filedMar. 26, 2014, both of which are incorporated in their entirety hereinby reference.

This application is a continuation-in-part of U.S. application Ser. No.14/708,038 entitled MULTI-GROUP METHODS AND SYSTEMS FOR REAL-TIMEMULTI-TIER COLLABORATIVE INTELLIGENCE, filed May 8, 2015, which in turnsclaims the benefit of U.S. Provisional Application 61/991,505 entitledMETHODS AND SYSTEM FOR MULTI-TIER COLLABORATIVE INTELLIGENCE, filed May10, 2014, both of which are incorporated in their entirety herein byreference.

This application is a continuation-in-part of U.S. application Ser. No.14/738,768 entitled INTUITIVE INTERFACES FOR REAL-TIME COLLABORATIVEINTELLIGENCE, filed Jun. 12, 2015, which in turns claims the benefit ofU.S. Provisional Application 62/012,403 entitled INTUITIVE INTERFACE FORREAL-TIME COLLABORATIVE CONTROL, filed Jun. 15, 2014, both of which areincorporated in their entirety herein by reference.

This application is a continuation-in-part of U.S. application Ser. No.14/859,035 entitled SYSTEMS AND METHODS FOR ASSESSMENT AND OPTIMIZATIONOF REAL-TIME COLLABORATIVE INTELLIGENCE SYSTEMS, filed Sep. 18, 2015which in turns claims the benefit of U.S. Provisional Application No.62/066,718 entitled SYSTEM AND METHOD FOR MODERATING AND OPTIMIZINGREAL-TIME SWARM INTELLIGENCES, filed Oct. 21, 2014, both of which areincorporated in their entirety herein by reference.

This application is a continuation-in-part of U.S. application Ser. No.14/920,819 entitled SUGGESTION AND BACKGROUND MODES FOR REAL-TIMECOLLABORATIVE INTELLIGENCE SYSTEMS, filed Oct. 22, 2015 which in turnsclaims the benefit of U.S. Provisional Application No. 62/067,505entitled SYSTEM AND METHODS FOR MODERATING REAL-TIME COLLABORATIVEDECISIONS OVER A DISTRIBUTED NETWORKS, filed Oct. 23, 2014.

This application is a continuation-in-part of U.S. application Ser. No.14/925,837 entitled MULTI-PHASE MULTI-GROUP SELECTION METHODS FORREAL-TIME COLLABORATIVE INTELLIGENCE SYSTEMS, filed Oct. 28, 2015 whichin turns claims the benefit of U.S. Provisional Application No.62/069,360 entitled SYSTEMS AND METHODS FOR ENABLING AND MODERATING AMASSIVELY-PARALLEL REAL-TIME SYNCHRONOUS COLLABORATIVESUPER-INTELLIGENCE, filed Oct. 28, 2014.

This application is a continuation-in-part of U.S. application Ser. No.15/017,424 entitled ITERATIVE SUGGESTION MODES FOR REAL-TIMECOLLABORATIVE SYSTEMS, filed Feb. 5, 2016 which in turns claims thebenefit of U.S. Provisional Application No. 62/113,393 entitled SYSTEMSAND METHODS FOR ENABLING SYNCHRONOUS COLLABORATIVE CREATIVITY ANDDECISION MAKING, filed Feb. 7, 2015, both of which are incorporated intheir entirety herein by reference.

This application is a continuation-in-part of U.S. application Ser. No.15/047,522 entitled SYSTEMS AND METHODS FOR COLLABORATIVE SYNCHRONOUSIMAGE SELECTION, filed Feb. 18, 2016 which in turns claims the benefitof U.S. Provisional Application No. 62/117,808 entitled SYSTEM ANDMETHODS FOR COLLABORATIVE SYNCHRONOUS IMAGE SELECTION, filed Feb. 18,2015, both of which are incorporated in their entirety herein byreference.

This application is a continuation-in-part of International ApplicationNo. PCT/US15/22594, filed Mar. 25, 2015.

This application is a continuation-in-part of International ApplicationNo. PCT/US15/35694, filed Jun. 12, 2015.

This application is a continuation-in-part of International ApplicationNo. PCT/US15/56394, filed Oct. 20, 2015.

BACKGROUND OF THE INVENTION

1. Field of the Invention

The present invention relates generally to systems and methods forcollaborative intelligence, and more specifically to systems and methodsfor closed-loop, dynamic collaborative intelligence.

2. Discussion of the Related Art

Portable computing devices, such as cell phones, personal digitalassistants, and portable media players have become popular personaldevices due to their highly portable nature, their ability to provideaccessibility to a large library of stored media files, theirinterconnectivity with existing computer networks, and their ability topass information to other portable computing devices and/or tocentralized servers through phone networks, wireless networks and/orthrough local spontaneous networks such as Bluetooth® networks. Many ofthese devices also provide the ability to store and display media, suchas songs, videos, podcasts, ebooks, maps, and other related contentand/or programming. Many of these devices are also used as navigationtools, including GPS functionality. Many of these devices are also usedas personal communication devices, enabling phone, text, picture, andvideo communication with other similar portable devices. Many of thesedevices include touch screens, tilt interfaces, voice recognition, andother modern user input modes. As a result, the general social trendwithin industrial societies is that every person does now or soon willmaintain at least one such multi-purpose electronic device upon theirperson at most times, especially when out and about.

While such devices allow accessing information and person to personcommunication, they do not provide any unique tools and infrastructurethat specifically enable groups of electronically networked individualsto have a real-time group-wise experience that evokes the group'scollaborative intent and intelligence (Collaborative Consciousness).Hence, there is a substantial need to provide tools and methods by whichgroups of individuals, each having a portable computing device upontheir person, to more easily contribute their personal will/intent to anemerging collaborative consciousness, allowing the group to collectivelyanswer questions or otherwise express their groupwise will in real-time.Furthermore, there is a need to provide tools and methods that enablegroups of users to be informed of the group-wise will that is emergingin real-time. The present invention, as described herein, addressesthese and other deficiencies present in the art.

SUMMARY OF THE INVENTION

Several embodiments of the invention advantageously address the needsabove as well as other needs by providing a real-time collaborativecontrol system for a group of users in real-time collaborative controlof at least one graphical object, comprising: a group of a plurality ofcomputing devices, each user of the group associated with one of theplurality of computing devices, each computing device comprising acommunications infrastructure coupled to each of a processor, a memory,and a display interface coupled to a display and configured to receiveinput from a user; a collaborative intent application stored on eachmemory and configured to run on each processor to: convey to the user,using the display interface, a group collaboration opportunity, receive,repeatedly in real-time, user input of a user intent vector having adirection and a magnitude through the display interface, send,repeatedly in real-time, the user intent vector to a collaborationserver, receive, repeatedly in real-time, a group intent vector from thecollaboration server, and present, repeatedly in real-time, thegraphical object at a location on the display, wherein the location isbased at least in part on the group intent vector; and the collaborationserver in networked communication with the plurality of computingdevices, the collaboration server including a server processor and aserver memory, the server processor configured to run a collaborationmediation application stored on the server memory, the collaborationmediation application configured run on the server processor to: conveyto the user, using the display interface, the group collaborationopportunity, receive, repeatedly in real-time, the user intent vectors,determine, repeatedly in real-time, a group force value from the userintent vectors, determine, repeatedly in real-time, a bias restoringforce vector having a restoring force magnitude and a restoring forcedirection, the restoring force magnitude being a percentage of the groupforce value, determine, repeatedly in real-time, the group intent vectorfrom the user intent vectors and the bias restoring force vector;sending, repeatedly in real-time, the group intent vector to theplurality of computing devices, whereby a closed-loop system is formedbetween the collaboration server and the plurality of computing devices.

BRIEF DESCRIPTION OF THE DRAWINGS

The above and other aspects, features and advantages of severalembodiments of the present invention will be more apparent from thefollowing more particular description thereof, presented in conjunctionwith the following drawings.

FIG. 1 is a schematic diagram of an exemplary real-time collaborativesystem.

FIG. 2 is a view of an exemplary display interface of a computing deviceof the collaborative system in accordance with one embodiment of thepresent invention.

FIG. 3 is a view of an exemplary group display interface of thecomputing device of the collaborative system at a point in time during acollaboration session.

FIG. 4 is a view of an exemplary group display interface of thecomputing device of the collaborative system after the collaborationsession has been successfully completed.

FIG. 5 is a view of a snapshot of an exemplary collaborative sessionreplay video.

FIG. 6 is a view of a subgroup vector target area and a resultant targetarea including three subgroup vectors in a first arrangement.

FIG. 7 is a view of a subgroup vector target area and a resultant targetarea including three subgroup vectors in a second arrangement.

FIG. 8 is a view of a subgroup vector target area and a resultant targetarea including three subgroup vectors in a third arrangement.

FIG. 9 is a view of a subgroup vector target area and a resultant targetarea including the third arrangement at a subsequent time-step.

FIG. 10 is a view of an exemplary subgroup vector target area includingthree subgroup vectors and a bias restoring force.

FIG. 11 is a view of an exemplary force diagram of the subgroup vectorsand the bias restoring force.

FIG. 12 is a detailed version of the view of the exemplary subgroupvector target area of FIG. 10.

Corresponding reference characters indicate corresponding componentsthroughout the several views of the drawings. Skilled artisans willappreciate that elements in the figures are illustrated for simplicityand clarity and have not necessarily been drawn to scale. For example,the dimensions of some of the elements in the figures may be exaggeratedrelative to other elements to help to improve understanding of variousembodiments of the present invention. Also, common but well-understoodelements that are useful or necessary in a commercially feasibleembodiment are often not depicted in order to facilitate a lessobstructed view of these various embodiments of the present invention.

DETAILED DESCRIPTION

The following description is not to be taken in a limiting sense, but ismade merely for the purpose of describing the general principles ofexemplary embodiments. The scope of the invention should be determinedwith reference to the claims.

Reference throughout this specification to “one embodiment,” “anembodiment,” or similar language means that a particular feature,structure, or characteristic described in connection with the embodimentis included in at least one embodiment of the present invention. Thus,appearances of the phrases “in one embodiment,” “in an embodiment,” andsimilar language throughout this specification may, but do notnecessarily, all refer to the same embodiment.

Furthermore, the described features, structures, or characteristics ofthe invention may be combined in any suitable manner in one or moreembodiments. In the following description, numerous specific details areprovided, such as examples of programming, software modules, userselections, network transactions, database queries, database structures,hardware modules, hardware circuits, hardware chips, etc., to provide athorough understanding of embodiments of the invention. One skilled inthe relevant art will recognize, however, that the invention can bepracticed without one or more of the specific details, or with othermethods, components, materials, and so forth. In other instances,well-known structures, materials, or operations are not shown ordescribed in detail to avoid obscuring aspects of the invention.

As referred to in this specification, “media items” refers to video,audio, streaming and any combination thereof. In addition, the audiosubsystem is envisioned to optionally include features such as graphicequalization, volume, balance, fading, base and treble controls,surround sound emulation, and noise reduction. One skilled in therelevant art will appreciate that the above cited list of file formatsis not intended to be all inclusive.

Real-time occurrences as referenced herein are those that aresubstantially current within the context of human perception andreaction, i.e. approximately within the perceptual limits of humancognition.

Prior systems for supporting networked collaboration have beendeveloped, but are asynchronous in nature, letting users provideisolated input, sequentially, the results generated by simple votes,ratings, and/or polling. For example, the present inventor was awardedU.S. Pat. No. 8,745,104 entitled “COLLABORATIVE REJECTION OF MEDIA FORPHYSICAL ESTABLISHMENTS” that describes a novel system for allowinggroups of users to reject the media playing in a restaurant or otherpublic venue through sequential polling. While effective for its desiredpurpose, such systems do not foster a true collaborative intelligenceamong groups of users. One reason that traditional polls and surveysfail to facilitate collaborative intelligence is that there is noreal-time negotiation, users instead imparting “fire and forget” votesor ratings such that collaborators can't explore the options inreal-time and converge on common ground. What is needed is a real-timeclosed loop system and supporting methods that enables groups ofnetworked users to function is a singular synchronous entity—a “socialswarm” that can make decision, take actions, or answer questions.

For example, the asynchronous nature of polls and surveys, as used bytools such as Reddit®, Yelp®, and Digg® cause distorted results. This isbecause the first few individuals to give a vote or rating have adisproportionate impact on the final output. The process is called“herding” or “snowballing” and reflects the fact that voters inasynchronous rating systems are deeply influenced by the votes thatprecede their own. In a recent study performed by researchers at MIT andHebrew University of Jerusalem (Muchnik et al.; Science Vol. 341, Aug.9, 2013), it was found that a single up-vote inserted as the firstresponse on a forum like Reddit, can boost the likelihood of futurepositive ratings by an average of 32% and can distort the outcome by25%. The researchers warn that these herding effects are distorting ourperceived views on everything from product recommendations on Amazon toelectoral polling and market predictions.

To avoid the pitfalls of asynchronous polling and enable a truereal-time collaborative intelligence, the present inventor has advancedcomputer mediated collaboration, transforming the process from thecollection of isolated asynchronous input to more sophisticatedclosed-loop systems that engender real-time synchronous collaboration.What is further needed, however, are systems and methods that enablegroups to select an image or a portion of an image through real-timesynchronous collaboration. The present invention discloses such systemsand methods, including novel systems and methods for placing a graphicalpin (or other locative identifier) on an image in a location that isselected collaboratively by a real-time synchronous group of users. Insome such embodiments, the image on which a graphical pin is placed is amap, a calendar, or a group of visually separable sub-images (forexample images of a set of products, logos, foods, or faces). Thepresent invention discloses novel systems and methods for zooming animage collaboratively by a real-time synchronous group of users.

Also disclosed herein is a new type of swarm replay wherein a groupintent vector is shown as a directional arrow across a plurality oftime-steps, enabling enhanced visualization of the decision.

The inventive systems and methods that enable a real-time, synchronous,Collaborative Intelligence that can generate and select from among aplurality of suggestions through a computer-moderated multi-rounditerative process. The present invention builds upon methods and systemsdisclosed in prior co-pending applications by the present inventor andhereby incorporated by reference.

As described in related patent application Ser. No. 14/668,970,14/708,038, 14/738,768 and 14/859,035 by the present inventor, all ofwhich are incorporated by reference, an innovative real-time system hasbeen developed that enables synchronous groups of users to form acoherent swarm intelligence that can collaboratively control a graphicalelement such as a pointer (or “puck”) in order to collectively answerquestions, make statements, take actions, select functions, or otherwiserespond to prompts. Using the disclosed systems and methods, a “socialswarming” platform is enabled that allows users to join one of aplurality of hosted swarms, collaborate with that swarm, earn scoresand/or credits and/or rankings based on their performance with respectto others in the swarm, and browse the stored output from other swarms.In some embodiments, groups (i.e. swarms) can compete with other swarms,each of said swarms also earning group-wise scores, credits, and/orrankings with respect to other swarms.

The collaboration system has been developed that allows the group ofusers to collaboratively control a graphical pointer 210 in order tocollaboratively answer questions or otherwise respond to prompts. In oneembodiment, each individual user (“participant”) engages the userinterface on a computing device 104, conveying his or her individualreal-time will in response to a prompt such as a textually displayed (oraudibly displayed) question as well as in response to real-time feedbackprovided to the user of the group's emerging real-time intent. Thiscloses the loop around each user, for he is conveying individual intentwhile also reacting to the group's emerging intent. Thus each user mustbe able to see not only the prompt that begins a session, but thereal-time group intent as it is forming. For example, if the intent isbeing conveyed as words, the user will see those words form, letter byletter. If the intent is being conveyed as a direction, the user seesthe direction form, degree by degree. If the intent is being conveyed asa choice among objects, the user sees the graphical pointer 210 getcloser and closer to a particular chosen object. Thus, the user isseeing the group's will emerge before his eyes, reacting to that will inreal-time, and thus contributing to it. This closes the loop, not justaround one user, but around all users who have a similar experience ontheir own individual computing device 104 at substantially the sametime. While the embodiments described generally refer to portablecomputing devices, it will be understood that non-portable computingdevices, such as desktop computers, may also be used.

Using the disclosed systems and methods, a “social swarming” platform isenabled that allows users to join one of a plurality of hosted groups(also referred to as swarms), each group comprising a plurality ofusers. The user may collaborate with that group, earn scores and/orcredits and/or rankings based on his performance with respect to othersin the group, and browse the stored output from other groups. In someembodiments, groups can compete with other groups, each of said groupsalso earning group scores, credits, and/or rankings with respect toother groups.

As described in co-pending U.S. patent application Ser. No. 14/668,970entitled METHODS AND SYSTEMS FOR REAL-TIME CLOSED-LOOP COLLABORATIVEINTELLIGENCE, by the present inventor, which is hereby incorporated byreference, systems and methods have been developed that allow a group ofusers to collaboratively control the motion of a graphical pointerthrough a unique group-wise control paradigm. In some embodiments, thecollaboratively controlled pointer is configured to allow a group ofusers to choose letters, words, and/or numbers in response to a promptposed to the group. This enables the formation a group response that'snot based on the will of any individual user, but rather based on thecollective will of the group. In some embodiments, the group responsecomprises a set of letters, numbers, and/or words that form a textualreply to a question or statement posed to the group. In this way, thesystem disclosed herein enables a group of people to verballycommunicate as a single collective intelligence. In some embodiments,the group response may comprise a task performed in response to aprompt, for example the collaborative control of the pointer to draw apicture as a group. We refer to such a collective intelligence herein asa “swarm A.I.” for it's an artificial intellect that emerges from thegroup as a result of unique computer-moderated methods employed herein.

As described in co-pending U.S. patent application Ser. No. 14/708,038entitled MULTI-GROUP METHODS AND SYSTEMS FOR REAL-TIME MULTI-TIERCOLLABORATIVE INTELLIGENCE by the current inventor, which is herebyincorporated by reference, additional systems and methods were disclosedthat encourage groups of real-time users who are collaborativelyanswering questions by controlling the pointer, to produce coherentresponses while discouraging incoherent responses. A number of methodswere disclosed therein, including (a) coherence Scoring, (b) coherencefeedback, and (c) tiered processing. These and other techniques greatlyenhance the effectiveness of group-wise collaborative control,incentivizing participants to convey their individual will in a morecollaborative and coherent manner. By promoting greater collaborationamong members of a real-time group, the result a more focused “swarmintelligence” that produces more coherent answers in shorter amounts oftime.

As described in co-pending Provisional patent application Ser. No.14/738,768, entitled INTUITIVE INTERFACES FOR REAL-TIME COLLABORATIVEINTELLIGENCE, by the current inventor, which is hereby incorporated byreference, systems and additional novel methods were disclosed thatprovide additional novel systems and methods for user interfacing thatmake group-wise collaborative control more intuitive for theparticipating users. More specifically, novel systems and methods weredisclosed that enable individual users to intuitively impart their ownpersonal intent upon the graphical pointer that's being collaborativelycontrolled through real-time synchronous input collected from aplurality of users. Some disclosed embodiments support users interfacingwith a mouse, touchpad, trackball, or touchscreen. Other embodimentssupport users interfacing by tilting a mobile computing device such as aphone or tablet. Some preferred methods employ a manipulatable graphicalmagnet such that each user positions the magnet so as to impart asimulated pull on the group-wise pointer. The sum (or average) of theplurality of user's individual pulls are then used to influence thegroup-wise motion of the pointer, thus providing a physically intuitivecontrol paradigm. This and other novel solutions disclosed therein,solved the unique problems posed by enabling real-time synchronouscollaborative control of the group-wise pointer, thus enabling moreeffective “swarm intelligence” systems.

Also disclosed were methods and systems to enable individual users toquickly and easily pose questions to a collaborating group. As describedin the co-pending applications, moderating software can be configured toorchestrate which users can ask questions to the group and when. Once aquestion is asked, it can be answered through collaborative controlmethods in which the pointer is enabled to select one of a predefinedset of input choices displayed (such as YES, NO, MAYBE, PROBABLY,DOUBTFUL) and/or by selecting one of a set of alphanumeric characters.While such methods are highly effective, additional methods weredisclosed herein that also allows individuals to specify a set of customchoices (i.e. possible answers) when asking a question to the group. Thecustom choices are then displayed graphically to the group as spatiallyarranged elements. The users can then collaboratively select among thespatially arranged elements using the group-wise pointer. This allowsfor “bounded-set questions” to be asked in a fast and fun manner, makingthe overall user experience far more enjoyable and efficient.

Also disclosed were innovative hosting methods, allowing large numbersof users to login and participate in collaborative experiences. Morespecifically, a novel paradigm was disclosed that allows groups of usersto enter one of a plurality of on online collaboration groups (referredto herein as swarms) and participate in question/answer sessions. Userscan choose among the plurality of swarms, some being public (for groupsof strangers), other being private (for groups of friends). The swarmscan be general or themed, such that themed swarms are for questions on aparticular topic. In some embodiments, swarms can compete with otherswarms, bringing the real-time synchronous methods disclosed herein to ahigher order, creating a group comprised of groups (i.e. a swarm ofswarms). Also disclosed were methods of giving swarms their own uniquevoice by enabling answers produced by synchronous groups of users to beTweeted® (via Twitter®). This technology is the first known deploymentof Tweets from a consciousness comprised not of a single individual, buta swarm of individuals acting as emergent artificial intelligence.

As described in co-pending U.S. patent application Ser. No. 14/859,035,entitled SYSTEMS AND METHODS FOR ASSESSMENT AND OPTIMIZATION OFREAL-TIME COLLABORATIVE INTELLIGENCE SYSTEMS by the present inventor,and hereby incorporated by reference, systems and additional novelmethods were disclosed that enhance collaborative group decisions andactions. As disclosed, each swarm can be configured to dynamicallyadjust its configuration by adjusting the relative weighting of theinput received from members of the swarm. More specifically, in someembodiments, algorithms are used to increase the impact (weighting) thatsome users have upon the collective pull of the pointer, whiledecreasing the impact (weighting that other users have upon thecollective pull of the pointer. More specifically, user synchrony values(also called user synchronicity values) are computed to reflect eachuser's contribution to (or resistance of) an emerging consensus in eachtrial. Users who show a time history of high “sync”, have theirweighting values increased by the underlying software, while users whoshow a time history of low “sync” have their weighting values decrease.In this way, the swarm intelligence is adapted over time by theunderlying algorithms disclosed herein, strengthening the connections(i.e. input) with respect to the more collaborative users, and weakeningthe connections with respect to the less collaborative users. In thisway, the collaborative swarm in controlled in a manner innovativelyreminiscent of an adaptable neural network that optimizes itsintelligence over time.

Also disclosed in Ser. No. 14/859,035 are methods for enabling membersof a swarm to ask a question to the group and then collect suggestionspopulate the possible answers from other members of the swarm. The groupthen collectively selects upon the options submitted. This technique isreferred to herein as “suggestion mode” and can be viewed as an enhancedversion of the “custom mode” disclosed in co-pending U.S. patentapplication Ser. No. 14/738,768. In the custom mode, a user can ask aquestion and provide a set of answers that the swarm will choose from.In suggestion mode, the user asks a question by indicates that thecustom choices are to be collected from any members of the swarm whohave ideas for options (i.e. suggestions) to populate the choices. Whena suggestion mode question is asked by a member of the swarm, all othermembers of the swarm are alerted with a pop-up window that asks them forsuggestions. A “suggestion timer” is optionally employed, giving thegroup a fixed time-window to provide suggestions. For example 30seconds. The system may be configured such that if a minimum of 2suggestions are not contributed within the 30 second window, thequestion is terminated. After all, you need at least two choices or theswarm has nothing to do. Conversely, if a full set of suggestions isreceived before the 30 second time limit is up, the question immediatelybegins, the group moving the pointer to choose among the suggestionsthat populated the board. In the event that more suggestions are madethan fit on the target area, the first suggestions received from usersare used by the software. Conversely, users with higher scores, ratings,sync values, or credit values, may be assigned priority makingsuggestions.

This method is highly effective, for it allows a swarm to engage in atwo-step question and answer process. For example, a swarm mightcomprise of a small group of friends. One user asks the group aquestion, entering it into the question box—“What movie should we seetonight?” The user selects suggestion mode. Immediately, that questionappears on the screens of all the other users. Also appearing on theirscreens is a suggestion dialog box, asking them to provide suggestionsand giving a time limit (for example, 30 seconds, counting down with atimer). As users enter suggestions, they appear around the target board.In addition, the chat window indicates the name of the user who madeeach suggestion. When the time is up, or when a full set of suggestionsare received, the software starts the answer phase of the session,giving the users collaborative control over the puck. The users thencollaboratively move the puck (using the real-time methods disclosed) toone of the choices. That choice is then sent to all members.

Finally, referring again to the Ser. No. 14/859,035 application, agravity mode was disclosed in which the puck 210 experiences a restoringforce that pulls it to a point substantially centered among a pluralityof the given choices, the restoring force is a function of distance fromthe center. This creates a dynamic in which the collaborative swarm mustpull on the puck 210 with a collective force that overcomes gravity inorder to position the puck 210 on one of the plurality of target choices208. This alters the decision dynamics of the swarm. For example,assuming the swarm has split into two factions, each faction pulling forone of two different answers to the question—without gravity, a simplemajority of users is all that's needed in order for the swarm to pull onthe puck 210 in a substantially synchronized manner in order to positionthe puck 210 on a given answer. Thus, without gravity, if there were 100users, with 51 pulling towards one answer, and 49 pulling towardsanother, the 51 would likely be able to position the puck 210 on thedesired answer choice 208. But with gravity of sufficient restoringforce, the system can be configured to require that a larger majority ofusers is needed to achieve consensus on one of the two choices beingvied for. In an example embodiment, the force of gravitational restoringforce is sized such that 80% (i.e. 80 users) are needed to pull in asubstantially similar direction to overcome gravity (and the 20% ofusers opposing) and position the puck 210 on the desired answer. Thismode thus enables a higher barrier for collaborative decision making,forcing the group to have more “conviction” in the resulting response inorder for consensus to be reached. Thus a simulated gravitationalrestoring force can be selectively introduced by in an inventive mannerto increase the threshold for collaborative decision making, and can besized in magnitude to avoid decisions resulting from random fluctuationsin the preference distribution of the users in the swarm. Note—theexample embodiment disclosed employs a novel “inverse gravity” profilesuch that the gravitational restoring force increases with distance froma central origin. This creates a dynamic where the puck 210 is very easyto move away from the center, but faces growing resistance, pulling backtowards center, as the puck 210 nears the answer choices 208.

Such gravitational methods are further explored herein (along with otherrestoring forces). In addition, an alternate use of gravitationalrestoring force is disclosed herein to combat the possibility ofdecision biases based on the spatial layout of options in the targetboard. As will be explained herein, low-levels of gravity (or otherrestoring force configurations) can be applied to mitigate positionalbiases.

Also, inventive methods are disclosed herein that size the restoringforce that mitigates positional biases based on the number of factionsthe swarm is split into, a faction being a sub-group of the swarm thatis pulling towards the same desired choice. We call such a desiredchoice a “preferred option” and thus each faction is pulling towards adifferent preferred option. In some embodiments, the restoring forcethat mitigates positional bias is based at least in part on the numberon the number of factions.

And finally, inventive methods for “smart gravity” are disclosed hereinsuch that the gravitational force is not only scaled based ondisplacement from an origin, but also scaled based on real-time forcesthat are applied by the users in the swarm. More specifically, thegravitational force is scaled based on the scalar sum of the forcesapplied by the users such that a higher scalar sum (i.e. sum of theabsolute value of the user force vectors), the greater the gravitationalrestoring force. This allows for gravity to kick in when it is needed,and fade out when it is not. For example, when the swarm is applying noforce to the puck, or substantially low force, this method applies norestoring force, or substantially small restoring force. Conversely,when the users are all or mostly applying individual forces, the scalarsum is at or near the maximum possibly produced by the swarm. Thiscorresponds to a maximum possible gravitational restoring force, furtherscaled by the distance from the defined origin, the greater the distancethe higher the restoring force. This allows gravity to kick in when it'smost needed, to either (1) avoid decisions being made based oninsignificant variations in user preference, or (2) avoid decisionsbeing made based on positional biasing effects. This will be describedin detail herein.

Referring first to FIG. 1, a schematic diagram of an exemplarycollaboration system 100 is shown. Shown are a Central CollaborationServer (CCS) 102, the plurality of portable computing devices 104, and aplurality of exchanges of data with the Central Collaboration Server106.

Embodiments of the plurality of portable computing devices 104 and theinteraction of the computing devices 104 with the system 100 arepreviously disclosed in the related patent applications.

As shown in FIG. 1, the system 100 comprises the Central CollaborationServer (CCS) 102 in communication with the plurality of computingdevices 104, each of said computing devices 104 running a CollaborativeIntent Application (“CIA”). The system 100 is designed to enable theplurality of users, each engaging an interface of one of said computingdevices 104, to jointly control a single graphical element, for examplethe movable pointer 210, through real-time group-wise collaboration. Insome embodiments, such as a multi-tier architecture, the portablecomputing devices 104 may communicate with each other. The CCS 102includes software and additional elements as necessary to perform therequired functions. In this application, it will be understood that theterm “CCS” may be used to refer to the software of the CCS 102 or otherelements of the CCS 102 that are performing the given function.

Although multiple pointers controlled by multiple swarms is enabled bythe innovations of the present invention, for the current discussion wewill give examples that are confined to a single swarm. This is forsimplicity of description and is not intended to limit the scope of theinnovations.

Referring again to FIG. 1, each of the computing devices 104 comprisesone or more processors capable of running the CIA routines anddisplaying a representation of the pointer 210 along with the pluralityof graphical answer choices 208. The computing device 104 could be, forexample, a personal computer running the CIA application. It could alsobe a mobile device such as a smart phone, tablet, headset, smart-watch,or other portable computing device running the CIA. The CIA softwarecode can be configured as a stand-alone executable or be code thatexecutes inside a web-browser or other shell.

While FIG. 1 shows only six computing devices 104 in communication withthe CCS 102, the system 100 is highly scalable, enabling hundreds,thousands, or even millions of users to connect simultaneously to theCCS 102, each using their own computing device 104, thereby sharing areal-time collaborative experience with the other users. In this way,large numbers of users can collaboratively control the pointer 210 togenerate a response by selecting letters, words, or numbers as a groupintelligence.

While FIG. 1 shows simple top-down architecture for direct communicationbetween the CCS 102 and each of the computing devices 104, relatedapplication Ser. No. 14/708,038 entitled MULTI-GROUP METHODS AND SYSTEMSFOR REAL-TIME MULTI-TIER COLLABORATIVE INTELLIGENCE disclosesmulti-group and tiered architectures that enable shared processing loadsamong large numbers of computing devices 104. While FIG. 1 shows adedicated CCS 102, the system 100 can be configured such that one of thecomputing devices 104 acts as the CCS 102 by running both CCS routinesand CIA routines. Such a model is generally viable only when the numberof users is low. Regardless of the architecture used, each of saidcomputing devices 104 that is engaged by a participating user includesone or more display devices for presenting a graphical user interface tothe user.

Referring next to FIG. 2, an exemplary display interface 200 is shown inaccordance with one embodiment of the present invention. Shown are aprompt bar 202, a group name 204, a target area 206, the plurality ofanswer choices 208, the pointer 210, a communication menu 212, a boardselection drop-down menu 214, a physics selection drop-down menu 216,the chat window 218, a chat input box 220, a current member list 222, astatistics display 224, an invite button 226, and an ask button 228.

The graphical pointer 210 is simultaneously displayed to each user bythe CIA running on his computing device 104. The pointer 210 displayedto each user appears in a substantially similar position with respect tothe set of answer choices 208 (as compared to the position of thepointer 210 on other user's screens). The synchrony of the interfaces iscoordinated by the data 106 received by each computing device 104 sentfrom the CCS 102 over the communications link. In a current embodiment,data 106 is sent from the CCS 102 to each of the plurality of computingdevices 104 at a rate of 60 updates per second, the data 106 includingthe current position of the graphical pointer 210 (also referred to as apuck) with respect to the set of graphical answer choices 208, asfurther shown below.

In general, the answer choices 208 (also referred to as input choices)are identically displayed upon all the computing devices 104, althoughsome unique embodiments allow for divergent answer choices 208. Forexample, in some embodiments the answer choices 208 are displayed in thenative language of each user, each answer choice 208 conveying asubstantially similar verbal message, but translated based on a languagesetting of the user. This feature enables swarms of individuals who mayspeak different languages and may be unable to communicate directly, tostill form a swarm intelligence that can collaboratively answerquestions or take actions. In such embodiments, the displayed questionsare also automatically translated into the chosen native language of theuser. This is also true of a displayed answer, and optionally the chatwindow 218 output.

In some embodiments, multiple graphical pointers 210 are displayed bythe computing devices 104, each of said graphical pointers 210 beingcollaboratively controlled by a different group of users. For example,500 users may be collaboratively controlling Graphical Pointer #1, whilea different group of 500 users are collaboratively controlling GraphicalPointer #2. The first group of 500 users comprises a first swarm. Thesecond group of 500 users comprises a second swarm. This unique systemand methods allow for the first swarm to compete with the second swarmin a task that is displayed simultaneously to all 1000 users on each oftheir computing devices 104.

As shown in FIG. 2, the CIA software running on each computing device104 is configured to display a graphical display interface 200 thatincludes at least one graphical pointer 210 and the plurality ofspatially arranged graphical answer choices 208. In the example shown,the graphical pointer 210 is configured to look like a “glass puck” witha central viewing area that is transparent. In the example shown, theanswer choices 208 are configured as a hexagon of six answer choices208, each answer choice 208 including a graphical icon (in theembodiment shown, a dot inside a circle) and an associated word. In thiscase, the six answer choices 208 correspond with possible answers toquestions: “Yes”, “Maybe”, “No”, “Yes”, “Bad Question”, and “No”. Whenthe pointer 210 is positioned over one of the answer choices 208 suchthat the answer choice 208 is substantially within a centralized viewingarea of the pointer 210 for more than a threshold amount of time, thatanswer choice 208 is selected as a target. In common embodiments thethreshold amount of time is 3 to 5 seconds. In the current embodiment,the centralized viewing area appears as a graphical etching on the glasspointer 210, the etching remaining invisible until the pointer 210approaches a target.

As shown in the exemplary embodiment of FIG. 2, the spatially arrangedgraphical answer choices 208 can comprise letters, numbers, words,and/or punctuation marks. The answer choices 208 could also comprisephotographs. In this example, if the pointer 210 is positioned over oneof the six targets for more than the threshold amount of time, thatanswer choice 208 is selected as the answer to a previously askedquestion.

To ask a question, the user enters the question into the prompt bar 202.Once entered, the user clicks the ask button 228, which sends thequestion from the CIA software of that particular user (running on hiscomputing device 104) to the CCS 102. Because many users could askquestions, the CCS 102 acts as the gate keeper, deeming the firstquestion received (when no question is currently in process) as the onethat will be asked to the group. In the current embodiment, not allusers are enabled to ask questions at any given time to avoid too muchcompetition for asking. In some embodiments, credits are redeemable bythe user for the right to ask the question. In some embodiments, theuser must spend credits to ask the question, and can only ask if he hasenough credits. In some embodiments, users earn credits based on pointsawarded for participation in a session. More credits are awarded tousers who have high sync scores, less credits being awarded to userswith low sync scores.

In addition to asking questions, users can select from a plurality ofpossible target areas by using the board selection drop-down menu 214.The currently selected target area 206 is for yes/no questions. Othertarget areas may include true/false questions, good/bad questions, andother sets of standardized answers. Also, a spelling board may beincluded where a full alphabet of answer choices 208 are displayed,allowing users to spell out answers (as shown in co-pendingapplications). The spelling board may also include numbers, punctuation,backspace, blank space, and other alphanumeric characters.

As disclosed in co-pending applications, custom boards can also beentered by selecting “custom” from the board selection drop-down menu214. As will be disclosed further below, “suggestion mode” can also beselected for a given question through the board selection drop-down menu214.

As also shown in FIG. 2, users can selectively use a physics mode fromthe physics selection drop-down menu 216. As shown, a standard physicsmode has been selected, but users can choose ice mode where the pointer210 slides around on the target area 206 as if it were frictionless ice.A gravity mode is configured to pull the pointer 210 back to a locationsubstantially near a center of the answer choice set (i.e. centerscreen) as if by simulated gravity. In a heavy mode the pointer 210 hassubstantially higher mass than in standard mode and thus is harder forusers to collectively move. In a barrier mode, a set of physicalbarriers block a direct path to the answer choices 208, forcing users tocollaboratively guide the pointer 210 around barriers to reach theanswer choices 208.

As also shown in FIG. 2, the display interface 200 includes the chatwindow 218 that allows users to exchange messages by typing in the chatinput box 220. Also included is the list of current members who are partof the group and thus enabled to ask questions and collaborativelyprovide control over the pointer 210.

Because users enter this group display interface 200 from a lobbydisplay interface where the user can choose from among a plurality ofavailable groups or swarms, the name of the current group (swarm) isalso displayed. In addition, users can invite their friends to thisgroup by clicking on the invite button 226 includes in the communicationmenu 212. In the current embodiments, these invites can leverageexisting social networks such as Facebook® friends and Twitter®followers. Also included in the interface of the current embodiment isthe statistics display 224 that gives the user of this instance of thesoftware (on this computing device 104) a listing of his personalstatistics including his score, credits, synchronicity value, the numberof rounds he has participated in, and the number of questions he hasasked the swarm.

When an exemplary question is entered by one of the users in the group,the question is sent by the CIA on that user's computing device 104 tothe CCS 102. If the CCS 102 software determines that the question isvalid, the question is then sent to all the users in the group so thatit appears substantially simultaneously on the display interface of eachof the computing devices 104. In a current embodiment, the questionappears in a large box at the top of the target area 206. Then a“3”-“2”-“1” countdown timer appears at the center of the target area206, notifying users get ready for the collaborative answer process, orsession, to begin. The display interface (having received instructionsfrom the CCS 102) then displays a graphical “GO” and the users will thencollaboratively control the motion of the pointer 210, guiding ittowards whichever answer choice 208 best satisfies the collaborativewill of the group as emergent from the real-time swarm intelligence.

Each answer session is generally limited in total time by the underlyingsoftware of the present system 100, for example giving the swarm 60seconds to converge upon an answer through the collaborative motion ofthe pointer 210. This time pressure is deliberate, for it inspires usersto employ their gut instincts and intuitions rather than overthinkingthe question.

To support the use of time-pressure, the countdown clock 304 isdisplayed on a group display interface 300 of each user (as shown belowin FIG. 3), the timing of the plurality of countdown clocks 304coordinated by handshaking signals from the CCS 102. If the pointer 210does not reach the target within the allotted 60 seconds, the system 100determines that the collaboration is a failure, and sends a failureindication to the CIA of each computing device 104. In some embodiments,in response to receiving the failure indication the CIA terminating userinput and displaying the words “brain freeze!” on the group interface.In addition, in response to receiving the failure indication all userscould lose a number of points and/or credits for the collective failureof the group to guide the pointer 210 to a target.

The system 100 is configured to determine that a target is achieved whenthe group successfully positions the pointer 210 over one answer choice208 for more than the threshold period of time. When the group targetsone answer choice 208, the target is displayed on the CIA screens of allthe users as the answer to the question. Also displayed may bestatistics for that answer as shown below in FIG. 4, such as the groupcohesiveness score and the user synchronicity value, as previouslydescribed in related application Ser. No. 14/708,038. Also displayed maybe points and/or credits awarded for the current user's participation inthe emergent answer, as shown in FIG. 4.

Referring next to FIG. 3, shown is the exemplary group display interface300 of one user at a point in time during a collaboration session, i.e.after the question has been received by the computing devices 104 butbefore the collaboration session has ended. Shown are the group name204, the target area 206, the plurality of answer choices 208, thepointer 210, the communication menu 212, the chat window 218, the chatinput box 220, the current member list 222, the statistics display 224,the invite button 226, a question display 302, a countdown clock 304,and a magnet icon 306.

As shown in FIG. 3, the basic layout of the display interface 300 issimilar to FIG. 2. In FIG. 3, in the target area 206 the prompt bar 202,the ask button 228, the board selection drop-down menu 214, and thephysics selection drop-down menu 216 have been replaced by the questiondisplay 302. The question display 302 appears substantiallysimultaneously upon the screens of the computers of all users in theswarm. Also displayed on the target area 206 are the set of answerchoices 208 from which the users are being asked to collaborativelyselect from. In this case the question is—“What movie should we seetonight?” and the answer choices 208 include five movie names: “Jaws”,“Gremlins”, “Stand By Me”, “Indiana Jones”, and “Twister” along with asixth answer choice 208, “Bad Question”. In many embodiments, the BadQuestion choice is automatically included in the answer choices 208 bythe CCS 102, allowing the swarm to collectively reject the question.This allows the group not to waste time on incoherent or undesirablequestions.

After the question and answer choices 208 appear on the displayinterfaces of the group members, the “3”-“2”-“1” countdown timer appears(not shown) to signal the start of the current session. When the sessionbegins, the users are now enabled to provide user input to the pointer210, guiding it towards one of the answer choices 208. As the sessiontime progresses, the 60 second countdown clock 304 counts down, applyingtime pressure to the group. In FIG. 3, the countdown clock 304 is shownat 0:51, indicating that 51 seconds remain in the current session.During the current session, group members may also be inputting messagesvia text using the chat window 218, and/or may be chatting with asimultaneously enabled group voice chat. This allows interpersonalcommunication during the session.

As disclosed in the co-pending applications which have been incorporatedby reference, each user is enabled to apply forces upon the pointer 210to convey his individual intent as to how the pointer 210 should move atany moment in time. The displayed motion of the pointer 210, however, isnot a reflection of that user's individual input but a reflection of thecollectively combined group input from the entire swarm of users. Asdisclosed in co-pending applications, the collective input from theplurality of users can be such that each user's input imparts an equallyweighted contribution to the total force applied to the pointer 210. Insome embodiments, weighting factors are used to give the input forcefrom some users a higher contribution as compared to other users. Aswill be described later in this document, novel methods of adjusting theweighting factors have been developed such that computationalconfiguration of swarms can be dynamically changed over time by theunderlying software running on the CCS 102, optimizing the collaborativeperformance of a given group based on the historical performance of itsmembers.

As disclosed in the co-pending applications which have been incorporatedby reference, each user is enabled to apply forces upon the pointer 210using one of a variety of innovative methods. In one preferredembodiment, disclosed in application Ser. No. 14/738,768, each usercontrols the graphical magnet icon 306 by manipulating a mouse,touchpad, touchscreen, tilt interface, or other provided user-interfacemethod. In one such embodiment, as the user moves his mouse cursorwithin a threshold distance of the pointer 210, it turns into the magneticon 306 that grows larger in size, the closer to the pointer 210 themouse is positioned. The larger size indicates a larger force. Therelative position of the magnet icon 306, which always orients itselftowards a center of the pointer 210 under software control, indicatesthe direction of pull that user wants to impart on the pointer 210. Inthis way, a user can intuitively impart of force of a selectablemagnitude and direction upon the pointer 210.

In other embodiments, the user can tilt the portable computing device104 to convey a desired magnitude and direction. In such embodiments,the magnet icon 306 or other graphical indicator is displayed toindicate the imparted force. In some such embodiments, the user mustalso tap the screen while tilting the computing device 104, thefrequency of the taps causing a higher force to be applied. This uniqueuse of a combined tilt and tap methodology is highly effective, for itenables one handed input from users on small mobile devices. It alsoenables the ease of tilting, but avoids it feeling too passive by alsorequiring frequent tapping. In many such embodiments, the maximum forceis applied for only a short time following each tap (for example 0.5seconds) and then fades away over a subsequent period of time (forexample 3 to 5 seconds). The displayed magnet icon 306 shrinks and fadesaway along with the force magnitude. This is a highly intuitiveinterface and requires that a user repeatedly tap to maintain amaximally applied force upon the pointer 210. This is an innovativeimplementation, for it has been found that requiring frequent tappingbetter engages the user in the collaborative experience when the tiltinterface is used.

In other embodiments the user is enabled to swipe across a touchscreendisplay to indicate the magnitude and direction of the force the userdesires to apply to the pointer 210. In many such embodiments the magneticon 306 is displayed, indicative of the magnitude and directionconveyed by the swipe. In such embodiments, the swipe force is appliedfor only a short time (for example 0.5 seconds) and then fades away overa period of time (for example 3 to 5 seconds). The magnet shrinks andfades away along with the force magnitude. This is a highly intuitiveinterface and requires that the user repeatedly swipe the screen tomaintain a maximally applied force upon the pointer 210. This is aninnovative implementation, for requiring frequent and repeated swipesbetter engages the user in the collaborative experience when the swipeinterface is used.

As disclosed in the co-pending applications, the CCS 102 softwarecollects input from the plurality of users, computes a resultant motionof the pointer 210, and communicates the resultant motion of the pointer210 to each CIA of the plurality of computing devices 104. The CCS 102software also determines if the pointer 210 location is successfullytargeting one answer choice 208 for more than the threshold amount oftime. If so, the CCS 102 software determines that the question isanswered and communicates the targeted answer choice 208 to all membersof the group such that it is substantially simultaneously displayed uponthe display interface of each computing device 104 included in thegroup.

In this way, the system 100 of the present invention enables groups ofnetworked users to collaboratively control the graphical pointer 210 inresponse to one or more questions posed by members of group. Morespecifically, embodiments of the current system 100 enable each of theplurality of users to view on a screen of their own individual computingdevices 104, a representation of the pointer 210 and the target area206, and enable each of said users to convey the user intent (alsoreferred to as the user intent value) as to the desired direction (andoptionally magnitude) of motion that user wants the pointer 210 to moveso as to select one of the answer choices 208 displayed on the targetarea 206. The user intent is represented as a user intent vector. Theuser intent vector can be conveyed by the user, for example, by tiltinghis computing device 104 in the desired direction, swiping the screen ina desired direction, or positioning the mouse such that the graphicalmagnet icon 306 pulls on the pointer 210 with a desired direction.

In some embodiments, eye tracking hardware and software are included inthe computing device 104, for example the eye tracking hardware andsoftware disclosed in U.S. Pat. No. 7,429,108 to the present inventor.The CIA is configured to operate the eye tracking hardware and softwareand receive input from the eye tracking hardware are software. In thecurrent innovation, a user's gaze is tracked by the CIA and used tocompute the user intent vector that represents the user's desired motionof the pointer 210, which is communicated to the CCS 102 software. Morespecifically, the user's gaze defines a location with respect to thepointer 210. The vector between the location and the center of thepointer 210 is then used by the CIA to compute the magnitude anddirection of the user intent vector. In this way, the user can simplylook towards a direction that he desires the pointer 210 to move, andthe user intent vector is computed by the CIA and sent to the CCS 102software by the CIA. In some instances the magnet icon 306 or othergraphical element is displayed to represent the user intent vector onthe display. In this way, the user can participate in the collaborativeswarm intelligence experience using a hands-free method.

In some embodiments, a brain-computer interface (sometimes called amind-machine interface, direct neural interface, synthetic telepathyinterface, or a brain-machine interface), is employed to collect theuser input of one or more users in the swarm. In some such embodiments,the user's brain-waves are detected by the brain-computer interface ashe or she watches the pointer 210 move upon his screen. A calibrationsession is often required to correlate detected brain activity with adesired direction of motion of the pointer 210, but once thatcalibration is complete, the brain-computer interface system can be usedby the CIA to compute the user intent vector that represents that user'sdesired motion of the pointer 210 at each time-step during the session,this user intent vector being communicated to the CCS 102 software. Inthis way, the user can simply think about a direction that he desiresthe pointer 210 to move, and the user intent vector is computed and sentto the CCS 102 software by the CIA. In some instances the magnet icon306 or other graphical element is displayed to represent the user intentvector on the screen of the user's computing device 104. In this way,the user can participate in the collaborative swarm intelligence using ahands-free method.

Whatever the input method used (mouse, touchscreen, tilt, eye-tracking,or brain-tracking), the system 100 is configured such that the userintent vector is communicated by the CIA, running on the user'scomputing device 104, to the Central Collaboration (CCS) 102. The CCS102 collects the user intent vectors from the plurality of users (viatheir separate computing devices 104), and then derives a group intentvector that represents the collective will of the group at that time.The group intent vector is then used to compute an updated location ofthe pointer 210 with respect to the target area 206 and the answerchoices 208, the updated location reflecting the collective will of thegroup.

In many preferred embodiments, a physical model is employed in which thepointer 210 is assigned a simulated mass and damping, each user inputrepresented as a simulated force vector. In some such embodiments, themass and damping of the pointer 210 is adjusted dynamically by thesoftware depending upon a physics mode selected by the user who askseach question by using the physics selection drop-down menu 216 shown inFIG. 2. In some such embodiments, the ice mode can be selected by theuser in which the pointer 210 glides very freely as if on ice. In somesuch embodiments, the heavy mode can be selected by the user in whichthe pointer 210 requires the collaborative pull of a large majority ofmembers of the swarm to achieve any real velocity. In some embodiments,the mass and damping are dynamically assigned by the software on the CCS102 depending upon the current size of the swarm, the larger the swarmthe higher the mass and higher the damping assigned.

Whether a physics model is used or not, the updated pointer 210 locationis then sent by the CCS 102 to each of the computing devices 104 and isused by the CIA running on each of said computing devices 104 to updatethe displayed location of the pointer 210. In this way, the plurality ofusers can watch the pointer 210 move, not based on their own individualinput, but based on the overall collective intent of the group.

As described in related U.S. patent application Ser. No. 14/668,970, thegroup intent vector can be computed from the plurality of user intentvectors as a simple average, or may be computed as a weighted average inwhich some users have more influence on the resulting collective groupintent than other users. In such embodiments, the weighting of each usercan be derived based on user scores and/or user synchronicity values(also referred to as synchrony values or performance values) earnedduring prior interactions with the system 100. In such embodiments, eachuser may be assigned one or more variables that represents how his orher input should be weighted with respect to other users in the swarm.In some embodiments the variable is called the user contribution indexand is updated regularly to reflect the skill of that user in providinginput that helps the group reach a coherent collaborative response. Theuser who demonstrates a history of “constructive input” (i.e. input thatis supportive of the collective intent, will be assigned a higher usercontribution index than the user who has demonstrated a history of“destructive input” (i.e. input that is substantially resistant to thecollective intent). In this way, users are incentivized push forcollaborative consensus.

Those users who are supportive to the emerging consensus are determinedcomputationally by the CCS 102 by repeatedly comparing each user's userintent vector with the group intent vector. The more aligned that user'suser intent vector is with the direction of the group intent vector, themore collaborative that user is behaving. The further the user intentvector is from the direction of the group intent vector, the lesscollaborative the user is behaving. This level of collaboration isrepresented by the value defined herein and in the related applicationsas the user's synchrony (or synchronicity). The synchronicity value maybe an instant synchronicity value, i.e. one at a certain instant intime, or may be a session synchronicity value representing the overalluser synchronicity for one or more sessions.

The synchronicity value for each individual user is determined by theCCS 102 by repeatedly comparing the user intent received from eachcomputing device 104 (representing the user input reflecting the user'sintent to move the graphical object of the pointer 210 in a givendirection) with the group intent derived from all user intents. Thesynchronicity value of the individual user is determined but computingthe difference between the user intent and the group intent. Thesynchronicity value may be an instant value, i.e., based on a singlecomparison of the user intent to the group intent at one point in time,or may be synchronicity value over a specific period of time, e.g. anaverage of the synchronicity values over that period. Thereby, the usersynchronicity value each individual user represents at least in partthat user's contribution to the collaborative control of the at leastone graphical object.

In some embodiments, each individual's synchrony value ranges between anupper bound value and a lower bound value. In one embodiment, thesynchronicity value ranges between +1 to −1, with the value +1 (theupper bound) being assigned when the user intent vector is substantiallyaligned with the group intent vector, and with the value of −1 (thelower bound) being assigned when the user intent vector is substantiallyin the opposite direction of the group intent vector, with all valuesbetween +1 and −1 being used to represent varying degrees of alignment.For example, if the user intent vector is 90 degrees out phase with thegroup intent vector, a value of 0 is assigned, for that is halfwaybetween fully convergent and fully divergent. Thus, a skilled user isone who is able to convey his individual intent as input, but do so in acooperative manner. Such a user will maintain a positive synchrony valueduring much of the session, for he or she is being supportive of thegroup intent. A user who maintains a positive value will be awarded morepoints and be assigned a higher user contribution index than a user whodoes not.

In some embodiments, the user's synchronicity values are computed as apercentage from 0% to 100%, for that is often an easier metric for usersto understand. The session synchronicity value of 100% means the userhas been perfectly in sync with the swarm. The session synchronicityvalue of 0% means the user has been entirely out of sync with the swarm.Session synchronicity values between 0% and 100% reflect relativesynchronization with the swarm, with a 50% synchronicity value meaningthe user was neutral with respect to the swarm. This is described inmore detail later in this document.

In some embodiments, an average (or mean) synchronicity value iscomputed for the user over some number of prior questions. For example a“sync_5” synchronicity value can be computed as that user's averagesynchronicity value (also referred to as the average performance value)over the last five sessions. This is a highly useful value for itindicates how cooperative the user has been over a recent period oftime. The “sync 5” synchronicity value can be used in combination withother time-histories, such as a “sync_50” synchronicity value whichindicates the average synchronicity value for that user over the last 50sessions, in order to compute that user's weighting value in the swarm.In some embodiments, the mean synchronicity value may be time-weightedsuch that time steps near the end of the session time period are moreheavily weighted than time steps near the start of the time period.

In some embodiments, the CCS 102 determines at least one user assessmentbased at least in part upon one of more user synchronicity values. Forexamples, one assessment may be configured to determine whether the useris categorized as “flexible” or “entrenched”. In another example, oneassessment may be configured to determine whether the user is“constructive” or “destructive”.

Referring next to FIG. 4, shown is an exemplary display interface 400 asdisplayed on the computing device 104 being used by one user of a group,shown at a moment in time after the group has successfully positionedthe pointer 210 on one of the answer choices 208, selecting the answerchoice 208 as the target, thereby collaboratively choosing the answer.Shown are the group name 204, the target area 206, the plurality ofanswer choices 208, the communication menu 212, the chat window 218, thechat input box 220, the current member list 222, the statistics display224, the invite button 226, a prefix text 402, a target text 404, agroup cohesiveness score indication 406, a session synchronicity valuescore indication 408, a points indication 410, an answer window 412, ananswer options tab 414, a replay swarm icon 416, and a Tweet answer icon418.

In this instance, the target is “Gremlins”, reflecting the swarm'scollaborative will in response to the posed question: “What movie shouldwe see tonight?” As shown in FIG. 4, the target is graphically displayedto each user on the screen of his or her computing device 104 (ascontrolled by the CIA software running on that device 104). In theembodiment shown, the graphical display includes the answer window 412including the prefix text 402 “UNUM says:” along with the chosen target:“Gremlins”.

In some embodiments, the answer is also displayed in the chat window218, as if communicated by the personified entity “UNUM” itself. Thisgives the swarm intelligence a feeling of personality and presence.

Also displayed in the answer window 412 is one or more statisticscomputed by the CCS 102 software. The statistics may reflect theperformance of the group as a whole or reflect the performance of theparticular user of that computing device 104. In this example, the groupcohesiveness score indication 406, reflecting the synchronicity of thegroup, is shown of 84%, which indicates that the group was 84% alignedin their imparted motion of the pointer 210. The group cohesivenessscore indication 406 includes the text “GROUP SYNC:” The groupcohesiveness score of 84% shows strong convergence of group members,reflecting that the swarm intelligence spoke with high “conviction” whenanswering this question. A low group cohesiveness score would reflect alow conviction for the swarm intelligence. In some embodiments the groupcohesiveness score may be repeatedly reported to and repeatedlydisplayed by each of the computing devices 104, for example during thesession.

Related application Ser. No. 14/708,038 discloses some methods ofcomputing the group cohesiveness score, such as to compute a runningaverage of the absolute value (i.e. magnitude) of the group intentvector over time.

The group cohesiveness score may have an upper bound and a lower bound,wherein a group cohesiveness score at the upper bound indicates that theplurality of real-time user intents are substantially aligned with eachother, and a group cohesiveness score at the lower bound indicates thatthe plurality of real-time user intent values are substantiallymisaligned with each other. In one embodiment, the lower bound isessentially 0, as the summation of the user intent vectors, beingopposite (exactly misaligned), cancel each other out.

In some embodiments, the CCS 102 determines at least one groupassessment based at least in part upon one of more group cohesivenessscores. For examples, one assessment may be configured to determinewhether the group is categorized as “flexible” or “entrenched”.

The group cohesiveness score may be repeatedly calculated by the CCS 102during the session and repeatedly received by each of the portablecomputing devices 104.

In another embodiment, the real-time user intent values are determinedto be substantially aligned with each other (i.e. at or near the upperbound) when their vector directions are substantially the same in atleast a plane. The real-time user intent values are determined to besubstantially misaligned with each other (i.e. at or near the lowerbound) when a summation of their vector directions substantially canceleach other out, resulting in a near zero resultant.

Also displayed in the answer window 412 is the session synchronicityvalue score indication 408. The session user synchronicity value is astatistical indication of how well the particular user of this computingdevice 104 was aligned in his input with the swarm as a whole. Thesession synchronicity value score indication 408 includes the text “YOURSYNC:” and value of 91%. In this case, the user was very highly aligned,achieving a 91% synchronicity value.

Also displayed in the answer window 412 is the points indication 410,indicating the number of points earned by this user as a result of hisor her participation during the session. The user in this session hasearned 241 points, as shown in the points indication 410. The pointsindication 410 also includes the text “POINTS:”

Users earn more points (or credits) as a result of being constructivelycollaborative, helping the swarm reach a meaningful consensus. Usersearn less points (credits) as a result of being non-collaborative(obstructive), blocking the swarm from finding a meaningful consensus.In the case where the swarm cannot answer a question within the allottedtime because consensus is never reached, all users lose points(credits). This innovative scoring method encourages participants to becollaborative rather than obstructionist, thereby improving theperformance of the swarm intelligence. This imposes a philosophicalsituation often referred to as a Prisoner's Dilemma and structures ituniquely such that group collaboration and consensus trumps groupstagnation and entrenchment. In this way, the present invention helpsgroups to find common ground.

Also displayed is the answer options tab 414 which gives users optionsrelated to the answer that was just reached by the swarm. The user canselectively Tweet® the answer by selecting the Tweet answer icon 418.This triggers a routine within the CIA that sends a Tweet request to theCCS 102 software, which then sends an automated Tweet to Twitter. TheTweet includes the question and the selected answer. The Tweet alsoincludes a numerical indication of the number of users who participatedin answering the given question, thus conveying the size of the swarmintelligence which produced this Tweet. The Tweet also includes ahashtag, for example “#UNUMsays”, as well as an indication of the groupcohesiveness score. In this way, the swarm intelligence system comprisedof dozens, hundreds, or even thousands of individual minds working asone can is given a unique voice as a social media entity. Enablingcollaborative groups to ask questions, answer questions, and voice theswarm's collaborative intent over Twitter as a unique entity is highlyunique and appealing to users. In some embodiments, the decision toTweet an answer is posed by the software to the swarm. A questionappears, e.g. “Should we tweet this?”, and a set of answers appear“yes”, “no”, etc. If the group picks “yes” or an equivalent, the swarmintelligence has decided to send its own Tweet. In this way, theinvention described herein enables the formation of a swarmintelligence, enables that swarm intelligence to answer questions,enables that swarm intelligence to consider the answer that emerges anddecide if that swarm intelligence wants to Tweet the answer publically.

As also included in the answer options tab 414, each individual user canselect a replay swarm icon 416. Upon selection of the replay swarm icon416, the session resulting in the current answer is replayed on thedisplay. The session replay is unique in that it displays an indicationof the input of all users in the group at the same time (i.e. the swarminput), giving insight into how the swarm converged upon the collectiveanswer. The video of the swarm input is displayed in high speed(generally 2× to 5× the speed of the real session). This saves timewhile also conveying a more intuitive display of swarm activity, for thehigh speed motion of the swarm input indicates the central tendenciesmore effectively than a real-time display.

Referring next to FIG. 5, a snapshot of an exemplary session replayvideo 500 is shown. Shown are the target area 206, the plurality ofinput choices 208, the question display 302, the plurality of magneticons 306, and the replay indication 502.

As shown in FIG. 5, the session replay video includes a representationof the question asked (the question display 302), the answer choices208, and the graphical indication of the trajectory taken by the pointer210 during the answer period. As FIG. 5 is a snapshot frame of thereplay video, the pointer 210 is shown at a single location, but viewedover time the pointer 210 is shown moving across the target area 206.Also displayed is the graphical indication of the input provided by eachuser of the swarm at each time-step during the answer session. In thisinstance, the graphical magnet icon 306 is displayed for each user, thesize and orientation of each magnet icon 306 with respect to the pointer210 indicating the magnitude and direction of that user's user intentvector (magnitude and direction) upon the pointer 210 at each givenmoment in time. In this example, 8 users were participating in theswarm, collaboratively moving the pointer 210 to an answer. This methodis scalable to much larger numbers of users. The target area may alsoinclude the replay indication 502 (the text “REPLAY” as shown in FIG.5), indicating to the user that the session shown is a replay sessionand not a current session.

In some embodiments where hundreds or even thousands of users areparticipating at the same time, other innovative methods are employed tomake the replay coherent. In one such embodiment, when the number ofmagnet icons 306 exceeds a threshold, they are grouped and averaged, forexample showing one composite magnet icon 306 to represent every groupof 10 in the swarm. In this way, a swarm with 800 users can berepresented by a replay display of 80 magnet icons 306. This is highlyinformative to the user, conveying the central tendency of the swarmwithout overwhelming the display with too many magnet icons 306 (orother graphical indicators). In some embodiments, the user can selectthe replay speed.

Still, new methods and systems are needed to enhance synchronouscollaborative decision making and bolster group intelligence. Herein,systems and methods that enable groups to select an image or a portionof an image through real-time synchronous collaboration. This includesnovel systems and methods for placing a graphical pin (or other locativeidentifier) on an image in a location that is selected collaborativelyby a real-time synchronous group. In some such embodiments, the image onwhich a graphical pin is placed is a map, a calendar, or a group ofvisually separable sub-images (for example images of a set of products,logos, foods, or faces). The present invention discloses novel systemsand methods for zooming an image collaboratively by a real-timesynchronous group of users.

Referring first to FIG. 1, a schematic diagram of an exemplarycollaboration system 100 is shown. Shown are a Central CollaborationServer (CCS) 102, the plurality of portable computing devices 104, and aplurality of exchanges of data with the Central Collaboration Server106.

Embodiments of the plurality of portable computing devices 104 and theinteraction of the computing devices 104 with the system 100 arepreviously disclosed in the related patent applications.

As shown in FIG. 1, the system 100 comprises the Central CollaborationServer (CCS) 102 in communication with the plurality of computingdevices 104, each of said computing devices 104 running a CollaborativeIntent Application (“CIA”). The system 100 is designed to enable theplurality of users, each engaging an interface of one of said computingdevices 104, to jointly control a single graphical element, for examplethe movable pointer 210, through real-time group-wise collaboration. Insome embodiments, such as a multi-tier architecture, the portablecomputing devices 104 may communicate with each other. The CCS 102includes software and additional elements as necessary to perform therequired functions. In this application, it will be understood that theterm “CCS” may be used to refer to the software of the CCS 102 or otherelements of the CCS 102 that are performing the given function.

Although multiple pointers controlled by multiple swarms is enabled bythe innovations of the present invention, for the current discussion wewill give examples that are confined to a single swarm. This is forsimplicity of description and is not intended to limit the scope of theinnovations.

Referring again to FIG. 1, each of the computing devices 104 comprisesone or more processors capable of running the CIA routines anddisplaying a representation of the pointer 210 along with a plurality ofgraphical input choices 208. The computing device 104 could be, forexample, a personal computer running the CIA application. It could alsobe a mobile device such as a smart phone, tablet, headset, smart-watch,or other portable computing device running the CIA. The CIA softwarecode can be configured as a stand-alone executable or be code thatexecutes inside a web-browser or other shell.

While FIG. 1 shows only six computing devices 104 in communication withthe CCS 102, the system 100 is highly scalable, enabling hundreds,thousands, or even millions of users to connect simultaneously to theCCS 102, each using their own computing device 104, thereby sharing areal-time collaborative experience with the other users. In this way,large numbers of users can collaboratively control the pointer 210 togenerate a response by selecting letters, words, or numbers as a groupintelligence.

While FIG. 1 shows simple top-down architecture for direct communicationbetween the CCS 102 and each of the computing devices 104, relatedapplication Ser. No. 14/708,038 discloses multi-group and tieredarchitectures that enable shared processing loads among large numbers ofcomputing devices 104. While FIG. 1 shows a dedicated CCS 102, thesystem 100 can be configured such that one of the computing devices 104acts as the CCS 102 by running both CCS routines and CIA routines. Sucha model is generally viable only when the number of users is low.Regardless of the architecture used, each of said computing devices 104that is engaged by a participating user includes one or more displaydevices for presenting a graphical user interface to the user.

Referring next to FIG. 2, an exemplary display interface 200 is shown inaccordance with one embodiment of the present invention. Shown are aprompt bar 202, a group name 204, a target area 206, a plurality ofinput choices 208, the pointer 210, a communication menu 212, a boardselection drop-down menu 214, a physics selection drop-down menu 216, achat window 218, a chat input box 220, a current member list 222, astatistics display 224, an invite button 226, and an ask button 228.

The graphical pointer 210 is simultaneously displayed to each user bythe CIA running on his computing device 104. The pointer 210 displayedto each user appears in a substantially similar position with respect toa set of input choices 208 (as compared to the position of the pointer210 on other user's screens). The synchrony of the interfaces iscoordinated by the data 106 received by each computing device 104 sentfrom the CCS 102 over the communications link. In a current embodiment,data 106 is sent from the CCS 102 to each of the plurality of computingdevices 104 at a rate of 60 updates per second, the data 106 includingthe current position of the graphical pointer 210 (also referred to as apuck) with respect to the set of graphical input choices 208, as furthershown below.

In general, the input choices 208 are identically displayed upon all thecomputing devices 104, although some unique embodiments allow fordivergent input choices 208. For example, in some embodiments the inputchoices 208 are displayed in the native language of each user, eachinput choice 208 conveying a substantially similar verbal message, buttranslated based on a language setting of the user. This feature enablesswarms of individuals who may speak different languages and may beunable to communicate directly, to still form a swarm intelligence thatcan collaboratively answer questions or take actions. In suchembodiments, the displayed questions are also automatically translatedinto the chosen native language of the user. This is also true of adisplayed answer, and optionally the chat window 218 output.

In some embodiments, multiple graphical pointers 210 are displayed bythe computing devices 104, each of said graphical pointers 210 beingcollaboratively controlled by a different group of users. For example,500 users may be collaboratively controlling Graphical Pointer #1, whilea different group of 500 users are collaboratively controlling GraphicalPointer #2. The first group of 500 users comprises a first swarm. Thesecond group of 500 users comprises a second swarm. This unique systemand methods allow for the first swarm to compete with the second swarmin a task that is displayed simultaneously to all 1000 users on each oftheir computing devices 104.

Although multiple pointers controlled by multiple swarms is enabled bythe innovations of the present invention, for the current discussion wewill give examples that are confined to a single swarm. This is forsimplicity of description and is not intended to limit the scope of theinnovations.

As shown in FIG. 2, the CIA software running on each computing device104 is configured to display the graphical display interface 200 thatincludes at least one graphical pointer 210 and the plurality ofspatially arranged graphical input choices 208. In the example shown,the graphical pointer 210 is configured to look like a “glass puck” witha central viewing area that is transparent. In the example shown, theinput choices 208 are configured as a hexagon of six input choices 208,each input choice 208 including a graphical icon (in the embodimentshown, a dot inside a circle) and an associated word. In this case, thesix input choices 208 correspond with possible answers to questions:“Yes”, “Maybe”, “No”, “Yes”, “Bad Question”, and “No”. When the pointer210 is positioned over one of the input choices 208 such that the inputchoice 208 is substantially within a centralized viewing area of thepointer 210 for more than a threshold amount of time, that input choice208 is selected as a target. In common embodiments the threshold amountof time is 3 to 5 seconds. In the current embodiment, the centralizedviewing area appears as a graphical etching on the glass pointer 210,the etching remaining invisible until the pointer 210 approaches atarget.

As shown in the exemplary embodiment of FIG. 2, the spatially arrangedgraphical input choices 208 can comprise letters, numbers, words, and/orpunctuation marks. The input choices 208 could also comprisephotographs. In this example, if the pointer 210 is positioned over oneof the six targets for more than the threshold amount of time, thatinput choice 208 is selected as the answer to a previously askedquestion.

To ask a question, the user enters the question into the prompt bar 202.Once entered, the user clicks the ask button 228, which sends thequestion from the CIA software of that particular user (running on hiscomputing device 104) to the CCS 102. Because many users could askquestions, the CCS 102 acts as the gate keeper, deeming the firstquestion received (when no question is currently in process) as the onethat will be asked to the group. In the current embodiment, not allusers are enabled to ask questions at any given time to avoid too muchcompetition for asking. In some embodiments, credits are redeemable bythe user for the right to ask the question. In some embodiments, theuser must spend credits to ask the question, and can only ask if he hasenough credits. In some embodiments, users earn credits based on pointsawarded for participation in a session. More credits are awarded tousers who have high sync scores, less credits being awarded to userswith low sync scores.

In addition to asking questions, users can select from a plurality ofpossible target boards by using the board selection drop-down menu 214.The currently selected target board is for yes/no questions. Othertarget boards may include true/false questions, good/bad questions, andother sets of standardized answers. Also, a spelling board may beincluded where a full alphabet of input choices 208 are displayed,allowing users to spell out answers (as shown in co-pendingapplications). The spelling board may also include numbers, punctuation,backspace, blank space, and other alphanumeric characters.

As disclosed in co-pending applications, custom boards can also beentered by selecting “custom” from the board selection drop-down menu214. As will be disclosed further below, “suggestion mode” can also beselected for a given question through the board selection drop-down menu214.

As also shown in FIG. 2, users can selectively use a physics mode fromthe physics selection drop-down menu 216. As shown, a standard physicsmode has been selected, but users can choose ice mode where the pointer210 slides around on the target board as if it were frictionless ice. Agravity mode is configured to pull the pointer 210 back to a locationsubstantially near a center of the input choice set (i.e. center screen)as if by simulated gravity. In a heavy mode the pointer 210 hassubstantially higher mass than in standard mode and thus is harder forusers to collectively move. In a barrier mode, a set of physicalbarriers block a direct path to the input choices 208, forcing users tocollaboratively guide the pointer 210 around barriers to reach the inputchoices 208.

As also shown in FIG. 2, the display interface 200 includes the chatwindow 218 that allows users to exchange messages by typing in the chatinput box 220. Also included is the list of current members who are partof the group and thus enabled to ask questions and collaborativelyprovide control over the pointer 210.

Because users enter this group display interface 200 from a lobbydisplay interface where the user can choose from among a plurality ofavailable groups or swarms, the name of the current group (swarm) isalso displayed. In addition, users can invite their friends to thisgroup by clicking on the invite button 226 includes in the communicationmenu 212. In the current embodiments, these invites can leverageexisting social networks such as Facebook® friends and Twitter®followers. Also included in the interface of the current embodiment isthe statistics display 224 that gives the user of this instance of thesoftware (on this computing device 104) a listing of his personalstatistics including his score, credits, synchronicity value, the numberof rounds he has participated in, and the number of questions he hasasked the swarm.

When an exemplary question is entered by one of the users in the group,the question is sent by the CIA on that user's computing device 104 tothe CCS 102. If the CCS 102 software determines that the question isvalid, the question is then sent to all the users in the group so thatit appears substantially simultaneously on the display interface of eachof the computing devices 104. In a current embodiment, the questionappears in a large box at the top of the target board. Then a“3”-“2”-“1” countdown timer appears at the center of the target board,notifying users get ready for the collaborative answer process, orsession, to begin. The display interface (having received instructionsfrom the CCS 102) then displays a graphical “GO” and the users will thencollaboratively control the motion of the pointer 210, guiding ittowards whichever input choice 208 best satisfies the collaborative willof the group as emergent from the real-time swarm intelligence.

Each answer session is generally limited in total time by the underlyingsoftware of the present system 100, for example giving the swarm 60seconds to converge upon an answer through the collaborative motion ofthe pointer 210. This time pressure is deliberate, for it inspires usersto employ their gut instincts and intuitions rather than overthinkingthe question.

To support the use of time-pressure, the countdown clock 304 isdisplayed on a group display interface 300 of each user (as shown belowin FIG. 3), the timing of the plurality of countdown clocks 304coordinated by handshaking signals from the CCS 102. If the pointer 210does not reach the target within the allotted 60 seconds, the system 100determines that the collaboration is a failure, and sends a failureindication to the CIA of each computing device 104. In some embodiments,in response to receiving the failure indication the CIA terminating userinput and displaying the words “Brain Freeze!” on the group interface.In addition, in response to receiving the failure indication all userscould lose a number of points and/or credits for the collective failureof the group to guide the pointer 210 to a target. That said, mostswarms are successful in guiding the puck to a target. The system 100 isconfigured to deem a target achieved when the group successfullypositions the puck over a target for more than a threshold period oftime. When collaboratively controlled targeting is achieved, the answeris displayed on the CIA screens of all the users. Also displayed arestatistics for that answer—including the group sync, and that user'suser sync. Also displayed are points and/or credits awarded for thecurrent user's participation in the emergent answer.

Referring next to FIG. 3, shown is the exemplary group display interface300 of one user at a point in time during a collaboration session, i.e.after the question has been received by the computing devices 104 butbefore the collaboration session has ended. Shown are the group name204, the target area 206, the plurality of input choices 208, thepointer 210, the communication menu 212, the chat window 218, the chatinput box 220, the current member list 222, the statistics display 224,the invite button 226, a question display 302, a countdown clock 304,and a magnet icon 306.

As shown in FIG. 3, the basic layout of the display interface 300 issimilar to FIG. 2. In FIG. 3, in the target area 206 the prompt bar 202,the ask button 228, the board selection drop-down menu 214, and thephysics selection drop-down menu 216 have been replaced by the questiondisplay 302. The question display 302 appears substantiallysimultaneously upon the screens of the computers of all users in theswarm. Also displayed on the target area 206 are the set of inputchoices 208 from which the users are being asked to collaborativelyselect from. In this case the question is—“What movie should we seetonight?” and the input choices 208 include five movie names: “Jaws”,“Gremlins”, “Stand By Me”, “Indiana Jones”, and “Twister” along with asixth input choice 208, “Bad Question”. In many embodiments, the BadQuestion choice is automatically included in the input choices 208 bythe CCS 102, allowing the swarm to collectively reject the question.This allows the group not to waste time on incoherent or undesirablequestions.

After the question and input choices 208 appear on the displayinterfaces of the group members, the “3”-“2”-“1” countdown timer appears(not shown) to signal the start of the current session. When the sessionbegins, the users are now enabled to provide user input to the pointer210, guiding it towards one of the input choices 208. As the sessiontime progresses, the 60 second countdown clock 304 counts down, applyingtime pressure to the group. In FIG. 3, the countdown clock 304 is shownat 0:51, indicating that 51 seconds remain in the current session.During the current session, group members may also be inputting messagesvia text using the chat window 218, and/or may be chatting with asimultaneously enabled group voice chat. This allows interpersonalcommunication during the session.

As disclosed in the co-pending applications which have been incorporatedby reference, each user is enabled to apply forces upon the pointer 210to convey his individual intent as to how the pointer 210 should move atany moment in time. The displayed motion of the pointer 210, however, isnot a reflection of that user's individual input but a reflection of thecollectively combined group input from the entire swarm of users. Asdisclosed in co-pending applications, the collective input from theplurality of users can be such that each user's input imparts an equallyweighted contribution to the total force applied to the pointer 210. Insome embodiments, weighting factors are used to give the input forcefrom some users a higher contribution as compared to other users. Aswill be described later in this document, novel methods of adjusting theweighting factors have been developed such that computationalconfiguration of swarms can be dynamically changed over time by theunderlying software running on the CCS 102, optimizing the collaborativeperformance of a given group based on the historical performance of itsmembers.

As disclosed in the co-pending applications which have been incorporatedby reference, each user is enabled to apply forces upon the pointer 210using one of a variety of innovative methods. In one preferredembodiment, disclosed in application Ser. No. 14/738,768, each usercontrols the graphical magnet icon 306 by manipulating a mouse,touchpad, touchscreen, tilt interface, or other provided user-interfacemethod. In one such embodiment, as the user moves his mouse cursorwithin a threshold distance of the pointer 210, it turns into the magneticon 306 that grows larger in size, the closer to the pointer 210 themouse is positioned. The larger size indicates a larger force. Therelative position of the magnet icon 306, which always orients itselftowards a center of the pointer 210 under software control, indicatesthe direction of pull that user wants to impart on the pointer 210. Inthis way, a user can intuitively impart of force of a selectablemagnitude and direction upon the pointer 210.

In other embodiments, the user can tilt the portable computing device104 to convey a desired magnitude and direction. In such embodiments,the magnet icon 306 or other graphical indicator is displayed toindicate the imparted force. In some such embodiments, the user mustalso tap the screen while tilting the computing device 104, thefrequency of the taps causing a higher force to be applied. This uniqueuse of a combined tilt and tap methodology is highly effective, for itenables one handed input from users on small mobile devices. It alsoenables the ease of tilting, but avoids it feeling too passive by alsorequiring frequent tapping. In many such embodiments, the maximum forceis applied for only a short time following each tap (for example 0.5seconds) and then fades away over a subsequent period of time (forexample 3 to 5 seconds). The displayed magnet icon 306 shrinks and fadesaway along with the force magnitude. This is a highly intuitiveinterface and requires that a user repeatedly tap to maintain amaximally applied force upon the pointer 210. This is an innovativeimplementation, for it has been found that requiring frequent tappingbetter engages the user in the collaborative experience when the tiltinterface is used.

In other embodiments the user is enabled to swipe across a touchscreendisplay to indicate the magnitude and direction of the force the userdesires to apply to the pointer 210. In many such embodiments the magneticon 306 is displayed, indicative of the magnitude and directionconveyed by the swipe. In such embodiments, the swipe force is appliedfor only a short time (for example 0.5 seconds) and then fades away overa period of time (for example 3 to 5 seconds). The magnet shrinks andfades away along with the force magnitude. This is a highly intuitiveinterface and requires that the user repeatedly swipe the screen tomaintain a maximally applied force upon the pointer 210. This is aninnovative implementation, for requiring frequent and repeated swipesbetter engages the user in the collaborative experience when the swipeinterface is used.

As disclosed in the co-pending applications, the CCS 102 softwarecollects input from the plurality of users, computes a resultant motionof the pointer 210, and communicates the resultant motion of the pointer210 to each CIA of the plurality of computing devices 104. The CCS 102software also determines if the pointer 210 location is successfullytargeting one input choice 208 for more than the threshold amount oftime. If so, the CCS 102 software determines that the question isanswered and communicates the targeted input choice 208 to all membersof the group such that it is substantially simultaneously displayed uponthe display interface of each computing device 104 included in thegroup.

In this way, the system 100 of the present invention enables groups ofnetworked users to collaboratively control the graphical pointer 210 inresponse to one or more questions posed by members of group. Morespecifically, embodiments of the current system 100 enable each of theplurality of users to view on a screen of their own individual computingdevices 104, a representation of the pointer 210 and the target board,and enable each of said users to convey the user intent (also referredto as the user intent value) as to the desired direction (and optionallymagnitude) of motion that user wants the pointer 210 to move so as toselect one of the input choices displayed on the target area. The userintent is represented as a user intent vector. The user intent vectorcan be conveyed by the user, for example, by tilting his computingdevice 104 in the desired direction, swiping the screen in a desireddirection, or positioning the mouse such that the graphical magnet icon306 pulls on the pointer 210 with a desired direction.

In some embodiments, eye tracking hardware and software are included inthe computing device 104, for example the eye tracking hardware andsoftware disclosed in U.S. Pat. No. 7,429,108 to the present inventor.The CIA is configured to operate the eye tracking hardware and softwareand receive input from the eye tracking hardware are software. In thecurrent innovation, a user's gaze is tracked by the CIA and used tocompute the user intent vector that represents the user's desired motionof the pointer 210, which is communicated to the CCS 102 software. Morespecifically, the user's gaze defines a location with respect to thepointer 210. The vector between the location and the center of thepointer 210 is then used by the CIA to compute the magnitude anddirection of the user intent vector. In this way, the user can simplylook towards a direction that he desires the pointer 210 to move, andthe user intent vector is computed by the CIA and sent to the CCS 102software by the CIA. In some instances the magnet icon 306 or othergraphical element is displayed to represent the user intent vector onthe display. In this way, the user can participate in the collaborativeswarm intelligence experience using a hands-free method.

In some embodiments, a brain-computer interface (sometimes called amind-machine interface, direct neural interface, synthetic telepathyinterface, or a brain-machine interface), is employed to collect theuser input of one or more users in the swarm. In some such embodiments,the user's brain-waves are detected by the brain-computer interface ashe or she watches the pointer 210 move upon his screen. A calibrationsession is often required to correlate detected brain activity with adesired direction of motion of the pointer 210, but once thatcalibration is complete, the brain-computer interface system can be usedby the CIA to compute the user intent vector that represents that user'sdesired motion of the pointer 210 at each time-step during the session,this user intent vector being communicated to the CCS 102 software. Inthis way, the user can simply think about a direction that he desiresthe pointer 210 to move, and the user intent vector is computed and sentto the CCS 102 software by the CIA. In some instances the magnet icon306 or other graphical element is displayed to represent the user intentvector on the screen of the user's computing device 104. In this way,the user can participate in the collaborative swarm intelligence using ahands-free method.

Whatever the input method used (mouse, touchscreen, tilt, eye-tracking,or brain-tracking), the system is configured such that the user intentvector is communicated by the CIA, running on the user's computingdevice 104, to the Central Collaboration (CCS) 102. The CCS 102 collectsthe user intent vectors from the plurality of users (via their separatecomputing devices 104), and then derives a group intent vector thatrepresents the collective will of the group at that time. The groupintent vector is then used to compute an updated location of the pointer210 with respect to the target area and the input choices 208, theupdated location reflecting the collective will of the group.

In many preferred embodiments, a physical model is employed in which thepointer 210 is assigned a simulated mass and damping, each user inputrepresented as a simulated force vector. In some such embodiments, themass and damping of the pointer 210 is adjusted dynamically by thesoftware depending upon a physics mode selected by the user who askseach question by using the physics selection drop-down menu 216 shown inFIG. 2. In some such embodiments, the ice mode can be selected by theuser in which the pointer 210 glides very freely as if on ice. In somesuch embodiments, the heavy mode can be selected by the user in whichthe pointer 210 requires the collaborative pull of a large majority ofmembers of the swarm to achieve any real velocity. In some embodiments,the mass and damping are dynamically assigned by the software on the CCS102 depending upon the current size of the swarm, the larger the swarmthe higher the mass and higher the damping assigned.

Whether a physics model is used or not, the updated pointer 210 locationis then sent by the CCS 102 to each of the computing devices 104 and isused by the CIA running on each of said computing devices 104 to updatethe displayed location of the pointer 210. In this way, the plurality ofusers can watch the pointer 210 move, not based on their own individualinput, but based on the overall collective intent of the group.

As described in related U.S. patent application Ser. No. 14/668,970, thegroup intent vector can be computed from the plurality of user intentvectors as a simple average, or may be computed as a weighted average inwhich some users have more influence on the resulting collective groupintent than other users. In such embodiments, the weighting of each usercan be derived based on user scores and/or user synchronicity values(also referred to as synchrony values, sync values or performancevalues) earned during prior interactions with the system 100. In suchembodiments, each user may be assigned one or more variables thatrepresents how his or her input should be weighted with respect to otherusers in the swarm. In some embodiments the variable is called the usercontribution index and is updated regularly to reflect the skill of thatuser in providing input that helps the group reach a coherentcollaborative response. The user who demonstrates a history of“constructive input” (i.e. input that is supportive of the collectiveintent, will be assigned a higher user contribution index than the userwho has demonstrated a history of “destructive input” (i.e. input thatis substantially resistant to the collective intent). In this way, usersare incentivized push for collaborative consensus.

Those users who are supportive to the emerging consensus are determinedcomputationally by the CCS 102 by repeatedly comparing each user's userintent vector with the group intent vector. The more aligned that user'suser intent vector is with the direction of the group intent vector, themore collaborative that user is behaving. The further the user intentvector is from the direction of the group intent vector, the lesscollaborative the user is behaving. This level of collaboration isrepresented by the value defined herein and in the related applicationsas the user's synchrony (or synchronicity or sync). The synchronicityvalue may be an instant synchronicity value, i.e. one at a certaininstant in time, or may be a session synchronicity value representingthe overall user synchronicity for one or more sessions.

The synchronicity value for each individual user is determined by theCCS 102 by repeatedly comparing the user intent received from eachcomputing device 104 (representing the user input reflecting the user'sintent to move the graphical object of the pointer 210 in a givendirection) with the group intent derived from all user intents. Thesynchronicity value of the individual user is determined but computingthe difference between the user intent and the group intent. Thesynchronicity value may be an instant value, i.e., based on a singlecomparison of the user intent to the group intent at one point in time,or may be synchronicity value over a specific period of time, e.g. anaverage of the synchronicity values over that period. Thereby, the usersynchronicity value each individual user represents at least in partthat user's contribution to the collaborative control of the at leastone graphical object.

In some embodiments, each individual's synchrony value ranges between anupper bound value and a lower bound value. In one embodiment, thesynchronicity value ranges between +1 to −1, with the value +1 (theupper bound) being assigned when the user intent vector is substantiallyaligned with the group intent vector, and with the value of −1 (thelower bound) being assigned when the user intent vector is substantiallyin the opposite direction of the group intent vector, with all valuesbetween +1 and −1 being used to represent varying degrees of alignment.For example, if the user intent vector is 90 degrees out phase with thegroup intent vector, a value of 0 is assigned, for that is halfwaybetween fully convergent and fully divergent. Thus, a skilled user isone who is able to convey his individual intent as input, but do so in acooperative manner. Such a user will maintain a positive synchrony valueduring much of the session, for he or she is being supportive of thegroup intent. A user who maintains a positive value will be awarded morepoints and be assigned a higher user contribution index than a user whodoes not.

In some embodiments, the user's synchronicity values are computed as apercentage from 0% to 100%, for that is often an easier metric for usersto understand. The session synchronicity value of 100% means the userhas been perfectly in sync with the swarm. The session synchronicityvalue of 0% means the user has been entirely out of sync with the swarm.Session synchronicity values between 0% and 100% reflect relativesynchronization with the swarm, with a 50% synchronicity value meaningthe user was neutral with respect to the swarm.

Referring next to FIG. 4, shown is an exemplary display interface 400 asdisplayed on the computing device 104 being used by one user of a group,shown at a moment in time after the group has successfully positionedthe pointer 210 on one of the input choices 208, selecting the inputchoice 208 as the target, thereby collaboratively choosing the answer.Shown are the group name 204, the target area 206, the plurality ofinput choices 208, the communication menu 212, the chat window 218, thechat input box 220, the current member list 222, the statistics display224, the invite button 226, a prefix text 402, a target text 404, agroup cohesiveness score indication 406, a session synchronicity valuescore indication 408, a points indication 410, an answer window 412, ananswer options tab 414, a replay swarm icon 416, and a Tweet answer icon418.

In this instance, the target is “Gremlins”, reflecting the swarm'scollaborative will in response to the posed question: “What movie shouldwe see tonight?” As shown in FIG. 4, the target is graphically displayedto each user on the screen of his or her computing device 104 (ascontrolled by the CIA software running on that device 104). In theembodiment shown, the graphical display includes the answer window 412including the prefix text 402 “UNUM says:” along with the chosen target:“Gremlins”.

In some embodiments, the answer is also displayed in the chat window218, as if communicated by the personified entity “UNUM” itself. Thisgives the swarm intelligence a feeling of personality and presence.

Also displayed in the answer window 412 is one or more statisticscomputed by the CCS 102 software. The statistics may reflect theperformance of the group as a whole or reflect the performance of theparticular user of that computing device 104. In this example, the groupcohesiveness score indication 406, reflecting the synchronicity of thegroup, is shown of 84%, which indicates that the group was 84% alignedin their imparted motion of the pointer 210. The group cohesivenessscore indication 406 includes the text “GROUP SYNC:” The groupcohesiveness score of 84% shows strong convergence of group members,reflecting that the swarm intelligence spoke with high “conviction” whenanswering this question. A low group cohesiveness score would reflect alow conviction for the swarm intelligence. In some embodiments the groupcohesiveness score may be repeatedly reported to and repeatedlydisplayed by each of the computing devices 104, for example during thesession.

Also displayed in the answer window 412 is the session usersynchronicity value score indication 408. The session user synchronicityvalue is a statistical indication of how well the particular user ofthis computing device 104 was aligned in his input with the swarm as awhole. The session synchronicity value score indication 408 includes thetext “YOUR SYNC:” and value of 91%. In this case, the user was veryhighly aligned, achieving a 91% synchronicity value.

Also displayed in the answer window 412 is the points indication 410,indicating the number of points earned by this user as a result of hisor her participation during the session. The user in this session hasearned 241 points, as shown in the points indication 410. The pointsindication 410 also includes the text “POINTS:”

Users earn more points (or credits) as a result of being constructivelycollaborative, helping the swarm reach a meaningful consensus. Usersearn less points (credits) as a result of being non-collaborative(obstructive), blocking the swarm from finding a meaningful consensus.In the case where the swarm cannot answer a question within the allottedtime because consensus is never reached, all users lose points(credits). This innovative scoring method encourages participants to becollaborative rather than obstructionist, thereby improving theperformance of the swarm intelligence.

Also displayed is the answer options tab 414 which gives users optionsrelated to the answer that was just reached by the swarm. The user canselectively Tweet® the answer by selecting the Tweet answer icon 418.This triggers a routine within the CIA that sends a Tweet request to theCCS 102 software, which then sends an automated Tweet to Twitter. TheTweet includes the question and the selected answer. The Tweet alsoincludes a numerical indication of the number of users who participatedin answering the given question, thus conveying the size of the swarmintelligence which produced this Tweet. The Tweet also includes ahashtag, for example “#UNUMsays”, as well as an indication of the groupcohesiveness score. In this way, the swarm intelligence system comprisedof dozens, hundreds, or even thousands of individual minds working asone can is given a unique voice as a social media entity. Enablingcollaborative groups to ask questions, answer questions, and voice theswarm's collaborative intent over Twitter as a unique entity is highlyunique and appealing to users. In some embodiments, the decision toTweet an answer is posed by the software to the swarm. A questionappears, e.g. “Should we tweet this?”, and a set of answers appear“yes”, “no”, etc. If the group picks “yes” or an equivalent, the swarmintelligence has decided to send its own Tweet. In this way, theinvention described herein enables the formation of a swarmintelligence, enables that swarm intelligence to answer questions,enables that swarm intelligence to consider the answer that emerges anddecide if that swarm intelligence wants to Tweet the answer publically.

As also included in the answer options tab 414, each individual user canselect a replay swarm icon 416. Upon selection of the replay swarm icon416, the session resulting in the current answer is replayed on thedisplay. The swarm replay is unique in that it displays an indication ofthe input of all users in the group at the same time (i.e. the swarminput), giving insight into how the swarm converged upon the collectiveanswer. The video of the swarm input is displayed in high speed(generally 2× to 5× the speed of the real session). This saves timewhile also conveying a more intuitive display of swarm activity, for thehigh speed motion of the swarm input indicates the central tendenciesmore effectively than a real-time display.

Referring next to FIG. 5, a snapshot of an exemplary session replayvideo 500 is shown. Shown are the target area 206, the plurality ofinput choices 208, the question display 302, and the plurality of magneticons 306.

As shown in FIG. 5, the session replay includes the question asked, theanswer choices 208, and the graphical indication of the trajectory takenby the pointer 210 during the answer period. As FIG. 5 is a snapshotframe of the replay video, the pointer 210 is shown at a singlelocation, but viewed over time the pointer 210 is shown moving acrossthe target area 206. Also displayed is the graphical indication of theinput provided by each user of the swarm at each time-step during theanswer session. In this instance, the graphical magnet icon 306 isdisplayed for each user, the size and orientation of each magnet icon306 with respect to the pointer 210 indicating the magnitude anddirection of that user's user intent vector (magnitude and direction)upon the pointer 210 at each given moment in time. In this example, 8users were participating in the swarm, collaboratively moving thepointer 210 to an answer. This method is scalable to much larger numbersof users.

In some embodiments where hundreds or even thousands of users areparticipating at the same time, other innovative methods are employed tomake the replay coherent. In one such embodiment, when the number ofmagnet icons 306 exceeds a threshold, they are grouped and averaged, forexample showing one composite magnet icon 306 to represent every groupof 10 in the swarm. In this way, a swarm with 800 users can berepresented by a replay display of 80 magnet icons 306. This is highlyinformative to the user, conveying the central tendency of the swarmwithout overwhelming the display with too many magnet icons 306 (orother graphical indicators). In some embodiments, the user can selectthe replay speed.

Referring next to FIGS. 6, 7 and 8, exemplary target areas includingsubgroup vectors and resultant forces are shown. A first arrangement ofsubgroup vectors is shown in FIG. 6. A second arrangement of subgroupvectors is shown in FIG. 7, and a third arrangement of subgroup vectorsis shown in FIG. 8. Shown are the plurality of answer choices 208, thepointer 210, a target shape 600, a plurality of nonpreferred targets602, a first subgroup vector 604, a second subgroup vector 606, a thirdsubgroup vector 608, a first subgroup vector target area 610, a firstresultant target area 612, a plurality of preferred targets 614, asecond subgroup vector target area 700, a second resultant target area702, a first resultant force vector 704, a third subgroup vector targetarea 800, a third resultant target area 802, and a second resultantforce vector 804.

As described in the related patent applications, in many embodiments theinput of each user is translated into a virtual vector force, typicallyreferred to as the user input vector. Each user input vector has amagnitude and a direction. The user input vectors of all users of thegroup are added together by the CCS 102 to result in the group intentvector. An indication of motion of the graphical object (typically thepointer 210) under collaborative control, the indication of motiontypically based on the group intent vector, is then sent to theplurality of computing devices. For clarity, the embodiments describedherein refer to the group intent vector in lieu of the indication ofmotion of the graphical object, but it should be understood that the useof the term group intent vector in this context also includes theindication of motion sent from the CCS 102 to the computing devices.

However, due to how the answer choices 208 are arranged geometrically onthe target shape 600, in some arrangements the group intent vector maynot accurately represent the group intent, and may be considered“biased”. The target areas 700, 800 of FIGS. 7, 8 illustrate biasingcases. The target shape 600 in FIGS. 6-8 is a hexagon shape, with eachtarget 602 located at a vertex of the hexagon. The hexagon target shape600 in the present embodiment is oriented with a single top vertex, i.e.in the pointy orientation. As shown in FIG. 6-8, during the time-stepshown in the collaborative session the pointer 210 is located at acenter of the hexagon target shape 600.

As disclosed herein and in the co-pending patent applications, someembodiments of the present invention are configured to provide the swarmof users with six targets, with each target located at the vertex of ahexagon shape and associated with one answer choice 208. The six targetsare arranged such that they are approximately equally spaced from thestarting location of the puck 210 at the center of the hexagon targetshape 600. This layout was chosen inventively to create an environmentconducive for collaborative decision-making by real-time social swarms.

Although larger numbers of answer choices 208 could be presented, sixwas employed because traditional social science research hasdemonstrated that giving people too many options to choose fromdecreases the motivation to choose, decreases the satisfaction with thechosen option, and increases negative emotions, including disappointmentand regret, a phenomenon often described as “choice overload”.

Still, there is one downside to a spatial layout of discrete answerchoices 208. The layout of spatially arranged choices other around thehexagon target shape 600 (or around other chosen shapes) can sometimescause biasing effects such that some answer choices 208 are more likelyto be chosen by the real-time swarm of users due entirely to therelative placement of options around the hexagon target shape 600. Thiscan cause distorted results.

Biasing effects, such as those illustrated in FIGS. 7 and 8, can occurwhen the swarm of users splits into a plurality of factions, orsubgroups, each subgroup including a portion of the users and eachsubgroup preferring a different target. For convenience, we call thesetargets the “preferred targets”, and the remaining targets “nonpreferredtargets”. The distribution of the plurality of preferred targets 614around the hexagon target shape 600 can cause biasing effects in somesituations, giving a biasing advantage to one or more of the preferredtargets 614 over other of the preferred targets 614. “Biasing advantage”is herein taken to mean that the swarm may be more likely to converge onone preferred target for no reason other than its geometrical locationrelative to the other preferred targets 614.

For example, if more of the preferred targets 614 happen to be on thesame side of the hexagon target shape 600 with respect to the puck 210as compared to fewer of other preferred targets 614, those same-sidepreferred targets 614 may have a biasing advantage over the other-sidepreferred targets 614.

In the exemplary first subgroup vector target area 610 and the firstresultant target area 612 of FIG. 6, the user intent vectors have beenresolved into three subgroup (faction) vectors for clarity: the firstsubgroup vector 604, the second subgroup vector 606, and the thirdsubgroup vector 608. In the example of FIG. 6, each subgroup intentvector has the same magnitude.

In FIGS. 6-8, each subgroup vector 604, 606, 608 is of equal magnitude,and each subgroup vector 604, 606, 608 has a direction directly towardsa different preferred target 614. This should result in the same effecton the puck 210 for each of the target areas 610, 700, 800 in FIGS. 6-8:as each subgroup is “pulling” for one preferred target 614 at equalmagnitude, a stalemate should occur, with the subgroup vectors 604, 606,608 canceling each other out and the group intent vector equal to zero.

However, due to the graphical geometry of the target shape 600, theresultant group intent vector will be different depending on therelative geometrical locations of the preferred targets.

Referring again to FIG. 6, the first subgroup vector target area 610 isshown for the case where the preferred targets 614 are equallyseparated, i.e. angles between adjacent subgroup vectors 604, 606, 608are the same (120 degrees). As shown in FIG. 6, first subgroup vector604 is in the 2-o'clock direction (pointing towards the target 614associated with the answer choice labeled “4”), the second subgroupvector 606 is in the 6-o'clock direction (pointing towards the target614 associated with the answer choice labeled “6”), and the thirdsubgroup vector 608 is in the 10-o'clock direction (pointing towards thetarget 614 associated with the answer choice labeled “2”). When thesubgroup vectors 604, 606, 608 are resolved into the single group intentvector, the subgroup vectors 604, 606, 608 cancel each other and thegroup intent vector is equal to zero, as shown as the absence of avector arrow in the first resultant target area 612.

In FIG. 6 there are three factions (subgroups) of users, each of whichis pulling towards one of the three preferred targets 614, none of whichare neighboring targets. In this situation, there is no biasingadvantage because the subgroup vectors 604, 606, 608 applied by thethree factions are evenly distributed around the hexagon target shape600. The puck 210 will only move based on the will of the factions. Inthe instant shown in FIG. 6, the three factions are evenly balanced andso the puck 210 will not move until members of the swarm shift theiralliance from one faction to another, or if other members join in thepull who are currently not pulling, thus giving one faction anadvantage. Regardless of how those force dynamics play out, the decisionprocess is unbiased for it depends entirely on the forces that areapplied by the members of the swarm and NOT on the positional layout ofthe targets 602, 614.

Referring next to FIG. 7, a second arrangement of subgroup vectors 604,606, 608 is shown. The subgroup vectors are of equal magnitude. Thefirst subgroup vector 604 is again oriented in the 2-o'clock direction,and the third subgroup vector 608 is in the 10-o'clock direction, butthe second subgroup vector 606 is now in the 8-o'clock direction(pointing towards the target 614 associated with the answer choicelabeled “1”). Thus an angle between the first subgroup vector 604 andthe second subgroup vector 606 is now 180 degrees, and the angle betweenthe second subgroup vector 606 and the third subgroup vector 608 is 60degrees. When the subgroup vectors 604, 606, 608 of FIG. 7 are summed,the first resultant force vector 704 is shown in the second resultanttarget area 702. The first subgroup vector 604 and the second subgroupvector 606 cancel each other out, leaving the group intent vector (thesecond resultant force vector 704) equal to the third subgroup vector608 in the 10-o'clock direction.

As shown in FIG. 7, there are three factions of users each pullingtowards a different preferred target 614, but in this case two of thepreferred targets 614 (associated with answer choices 208 “1” and “2” inFIG. 7) are neighboring targets 614. As a consequence, the puck motionis biased towards a left side of the hexagon target shape 600. Thereason for this is entirely because of the spatial geometrical layout ofthe preferred targets 614 that causes more pull to the left than to theright. This is an artificial bias because it has nothing to do with thewill of the group. The group is evenly balanced and so the puck 210should be generally still, stuck in a stalemate situation until thedynamics change through intra-group changes. To compound the problem,two preferred targets 614 are opposite of each other (those associatedwith answer choices labeled “1” and “4”) with respect to the puck 210.In other words, the faction pulling towards answer choice “1” and thefaction pulling towards answer choice “4” will cancel each other'spulls. This means the puck 210 will move towards the preferred target614 associated with answer choice 2. This is a significant issue becausethere is no reason the swarm should pick answer choice “2” over answerchoice “1” or answer choice “4” other than the positional placement ofthe preferred targets 614. This is called “positional bias” and is adefinitive biasing effect that needs to be addressed with an inventivesolution.

Referring next to FIG. 8, a third arrangement of subgroup vectors 604,606, 608 is shown. The subgroup vectors are again of equal magnitude. Inthe third arrangement the first subgroup vector 604 is in the 2-o'clockdirection, and the third subgroup vector 608 is in the 10-o'clockdirection, but in FIG. 8 the second subgroup vector 606 is in the12-o'clock direction (pointing towards the target 614 associated withthe answer choice labeled “3”). The second subgroup vector 606 isseparated from the first subgroup vector 604 and the third subgroupvector 608 by 60 degrees. The first subgroup vector 604 and the thirdsubgroup vector 608 are separated by 240 degrees. When the subgroupvectors 604, 606, 608 of FIG. 8 are summed, as shown in the thirdresultant target area 802, the horizontal components of the firstsubgroup vector 604 and the third subgroup vector 608 cancel each otherout, leaving the group intent vector equal to the second subgroup vector606 added to the vertical components of the first subgroup vector 604and the third subgroup vector 608, all oriented in the 12-o'clockdirection.

In FIG. 8 there are again three factions of users, each pulling towardsone of the three preferred targets 614, but in this case three of thepreferred targets 614 (associated with answer choices 208 labeled “2”,“3” and “4”) are neighbors. As a consequence, the puck 210 will movetowards the top of the hexagon target shape 600 and the preferred target614 associated with answer choice “3”. Of course, the pointer 210 shouldmove in that direction since all three preferred targets 614 are on thatportion of the hexagon target shape 600 and thus upward motion reflectsthe true will of the group. Still, a significant biasing problem emergesas the puck 210 heads upward. This is because two of the preferredtargets 614 (“2” and “4”) fall on opposite sides of the puck 210. Thismeans that the first subgroup vector 604 and the third subgroup vector608 from the factions pulling towards those preferred targets 614 canceleach other out in the horizontal component of their pulls.

Referring again to FIGS. 6-8, positional bias emerges when threefactions pull towards three different preferred targets 614 which arepositioned such that two of the subgroup vectors have opposing forcesthat cancel, allowing the puck 210 to proceed to the third preferredtarget for no reason other than the preferred target 614 location on thehexagon target shape 600. This situation arises in two uniquesituations. Either when two preferred targets 614 are neighbors and thethird preferred target 614 is directly opposite one of those two targets(as shown in FIG. 7), or when the three preferred targets 614 areneighbors (as shown in FIG. 8).

For situations with only two factions/subgroups, biasing does notsubstantially occur as described previously. Biasing also does not occurwith four factions/subgroups. That's because for a hexagon layout, fourtargets always have two pairs on opposing sides of the puck 210.Positional biasing can occur with five factions, but because the totalforce is split five ways, the bias is smaller than the three factionexamples. Thus, if the three faction problem caused by FIGS. 7 and 8above is solved, the five faction problem is also solved.

Fortunately, a single novel solution can address most situations. Morespecifically, the problem can be solved if the CCS 102 software isconfigured to introduce a low-level restoring force vector, similar tothe gravity force described in related applications, that acts to pullthe puck 210 back towards the center of the hexagon target shape 600.This restoring force vector should be sized such that it is large enoughto neutralize a biased preferred target 614 by countering the biasedforce resultant (such as first resultant 704 and second resultant 804),thus putting disadvantaged preferred targets 614 on equal footing withthe advantaged preferred target 614. The restoring force vector shouldalso be of a magnitude small enough that the effect of the restoringforce vector on the puck motion is barely noticeable to users.

In the gravity mode, as described in co-pending applications, the CCS102 software imparts the simulated restoring force vector that pulls thepuck 210 back to a point substantially centered among the plurality ofthe given targets 602, 614, a magnitude of the restoring force vector afunction of distance from the center point. As disclosed, this restoringforce vector can be configured to increase in magnitude as the puck 210increases its distance from the center. In this way, the effect on thepointer motion feels like “gravity” to the users, pulling the puck 210back to the center of the target shape 600 unless opposed by the groupintent vector.

In many preferred embodiments of the gravity force mode, the restoringforce vector increases linearly in magnitude with distance from thecenter, and reaches (and maintains) a maximum force after the puck 210has been moved beyond a threshold distance from the center. When themaximum magnitude has been reached, the restoring force vector is“saturated”. This gives the restoring force vector a predictable profileand creates an upper bound for the restoring force vector magnitude. Inone current embodiment, the restoring force vector is configured suchthat the CCS 102 software imparts a restoring force vector equal to 0when the puck 210 is centered, with the restoring force vectorincreasing linearly with increasing distance from the center until therestoring force vector magnitude reaches a maximum magnitude at adistance of 200 pixels, wherein the restoring force vector magnitudeceases to increase. In one embodiment, an algorithm determining themagnitude of the restoring force vector includes a maximum magnitudevalue of the restoring force vector, a group force value, equal to 35%of the total possible force that the current users could collaborate toapply to the puck 210 if all were working in perfect alignment (alsoknown as the maximum force value). The maximum force value is the numberof users in the group multiplied by the maximum possible user intentmagnitude. The algorithm determining the restoring force vector is aninventive feature for the magnitude value of the restoring force vectordepends on how many users are currently in the swarm, thus scaling theupper bound of the restoring force vector magnitude based on the numberof users in the group. If there are many users, the maximum restoringforce vector magnitude is a higher value than if there are fewer users.In many embodiments, the maximum restoring force vector magnitudeincreases (scales) linearly with the number of users in the currentswarm. In one such embodiment the linear scale relationship is 0.35 toachieve the aforementioned 35% value.

The introduction of the restoring force vector by the CCS 102 softwarehas the effect of creating a new collaborative dynamic in which themembers of the swarm must pull on the puck 210 with a collective forcethat overcomes the restoring force vector in order to select one of theplurality of targets 602, 614.

This significantly alters the swarm dynamics, for it now requires morethan a simple plurality of users pulling on the puck 210 in asubstantially synchronized manner in order to position the puck 210 on agiven target 602, 614. In a standard non-gravity mode, if there were 100users, with 51 pulling towards one answer, and 49 pulling towardsanother, the 51 would likely be able to position the puck 210 to selectthe desired answer choice 208. But with an introduced restoring forcevector of sufficient magnitude, the system 100 can be configured torequire that at least 80% (i.e. 80 users of the 100 in the swarm at thepresent time) to be pulling in a substantially similar direction toovercome the restoring force vector and position the puck 210 on thedesired target.

This inventive feature thus enables a high barrier for collaborativedecision making, forcing the group to have more “conviction” in theresulting response. Said another way, this inventive use of therestoring force vector forces the swarm of users to achieve a higherlevel of consensus among the pool of members in order for a decision tobe achieved. This promotes negotiation and consensus-building, andleader to an improved dynamic in which users are more apt to find commonground that satisfies the majority.

In some embodiments, the magnitude of the restoring force vector isuser-selectable, thereby adjusting the level of conviction required toovercome the restoring force vector and reach one target 602, 614.

In some novel embodiments, the user of “smart gravity” is employed, therestoring force vector magnitude is scaled not by the total possibleforce (the maximum force value) that the swarm of users could apply onthe puck 210 but by the actual sum of the user input vectors applied bythe swarm at the current time-step. Thus if the swarm is applying a highlevel of force, the maximum restoring force vector magnitude is scaledupwards as compared to if the swarm is applying a low level of force.This allows the restoring force vector magnitude to be adjusted notbased on how many users are in the swarm but based on how many users areactually pulling on the puck 210 at the given time-step. The more theswarm is pulling on the puck 210, the greater the upper bound of themagnitude of the restoring force vector. In preferred embodiments, therestoring force is dropped to 0 or near 0 by the CCS 102 software whenthe sum of user input vectors on the puck 210 falls below a giventhreshold. This ensures that if nobody is pulling on the puck 210, therestoring force vector drops to zero as well. This ensures the puck 210never appears to move on its own with nobody engaging the puck 210, forthe opposing restoring force vector only kick in when there is a forceon the puck 210 above the given threshold.

In many embodiments of the smart gravity feature described above, theaforementioned sum of user forces is a scalar sum. This means thesummation of the magnitudes of the user intent vectors applied to thepuck 210 by the plurality of users without consideration of the userinput vector directions. Thus the scalar sum is the absolute value ofapplied user input vectors, indicating how much pull is being applied tothe puck regardless of direction. This is highly effective for it givesan indication of swarm pull regardless of whether some members' userinput vectors are canceling out other members' user input vectors due toopposing directions.

Referring next to FIG. 9, an exemplary subgroup vector target area 900is shown. Shown are the plurality of answer choices 208, the puck 210,the target shape 600, the plurality of nonpreferred targets 602, thefirst subgroup vector 604, the second subgroup vector 606, the thirdsubgroup vector 608, and the plurality of preferred targets 614.

The exemplary subgroup vector target area 900 shows the exemplarysubgroup vector target area 800 (FIG. 8) at a subsequent time-step whenthe pointer 210 has moved vertically in response to the subgroup vectors604, 606, 608.

As shown in FIG. 9, the pointer 210 has moved upwards to a new locationon the target area 900 as a result of the three subgroup vectors 604,606, 608 acting on the puck 210. As in FIG. 8, the subgroup vectors 604,606, 608 are directed towards answer choices 208 labeled “2”, “3” and“4”. Because horizontal components of the first subgroup vector 604 inthe direction of answer choice “2” and the third subgroup vector 608 inthe direction of answer choice “4” cancel each other out, and thevertical components of the first subgroup vector 604 and the thirdsubgroup vector 608 are in the direction of answer choice “3”, the netpull on the puck will be directly towards answer choice 3, i.e. in avertical upward direction. This means the puck will move towards answerchoice “3” simply because answer choice “3” happens to be the middlepreferred target 614 of the three neighboring preferred targets 614, notbecause there is a stronger faction pulling towards answer choice “3”.This too is a clear case of positional biasing that needs to beaddressed with an inventive solution.

Thus we see that positional bias emerges when three factions/subgroupspull towards three preferred targets 614 which are positioned such thattwo of the subgroup vectors have opposing forces that cancel, allowingthe puck 210 to proceed to the third preferred target for no reasonother than the preferred target's location on the hexagon target shape600. This situation arises in two unique situations for the hexagontarget shape 600. Either when two preferred targets 614 are neighborsand the third preferred target 614 is directly opposite one of those twopreferred targets 614 (as shown in FIG. 8), or when the three preferredtargets 614 are neighbors (as shown in FIG. 9).

For situations with only two factions/subgroups, the positional biasdoes not occur as described previously. Positional biasing also does notoccur with four factions. That's because for the hexagon target shape600, four preferred targets 614 always have two pairs on opposing sidesof the puck 210. Positional biasing can occur with five factions, butbecause the total force is split five ways, the positional bias issmaller than the three faction examples. Thus, solving the three factionproblem caused by the configurations shown in FIGS. 7 and 8 above, thefive faction problem also solved.

Fortunately, a single novel solution can address most situations. Morespecifically, the problem can be solved if the CCS 102 software isconfigured to introduce a bias restoring force vector 1002 that alwaysacts in the direction to pull the puck 210 back towards the center ofthe hexagon target shape 600. The bias restoring force vector 1002 actssimilarly to the gravity restoring force vector of the gravity modepreviously described. The bias restoring force vector 1002 should besized such that the bias restoring force vector 1002 is large enough tocorrect the positional biasing, by countering the biasing resultantforce, thus putting the disadvantaged preferred targets 614 on equalfooting with the advantaged preferred targets 614. The bias restoringforce vector 1002 should also be sized small enough that the additionalmovement of the pointer 210 due to the bias restoring force vector 1002is barely noticeable to users.

Consider the three-neighbor situation shown in FIG. 9. At the moment intime depicted, the puck 210 will easily proceed to the answer choice 208labeled ‘3’ for no reason other than the positional layout. That said,at the shown moment, three factions are pulling equally towards threepreferred targets 614. This should be a stalemate situation in theswarm, requiring members to switch their views and find a compromise.The CCS 102 software can be configured to induce this stalemate byintroducing the appropriately sized bias restoring force vector 1002that pulls back toward the center of the target shape 600, as describedbelow in FIG. 10. In one preferred embodiment, the magnitude of the biasrestoring force vector 1002 is sized to increase linearly with adistance of the pointer 210 from the center and is configured in the CCS102 software to reach a maximum magnitude of 16% of the maximum forcevalue that the full swarm can apply to the puck 210. This maximummagnitude and linear increase was chosen to be barely noticeable byusers due to the smooth ramp up and low magnitude, but still beeffective in combating the positional bias. Also, it's important tochoose the lowest (or almost lowest) bias restoring force vector 1002magnitude that solves the problem because higher restoring force vector1002 magnitudes will make it more difficult to choose desired targets.

Referring next to FIG. 10, an exemplary subgroup vector target area 1000including the bias restoring force vector 1002 is shown. Shown are theplurality of answer choices 208, the puck 210, the target shape 600, theplurality of nonpreferred targets 602, the first subgroup vector 604,the second subgroup vector 606, the third subgroup vector 608, theplurality of preferred targets 614, and the bias restoring force vector1002.

The subgroup vector target area 1000 is the same as the subgroup vectortarget area 900 of FIG. 9, with the addition of the bias restoring forcevector 1002.

As shown in FIG. 10, the puck 210 has approached the preferred target614 associated with the answer choice 208 labeled “3” even though theswarm is split into three equal subgroups which have pulled towards thepreferred targets 614 associated with the answer choices 208 labeled“2”, “3”, and “4”. To neutralize the resulting positional bias, the biasrestoring force vector 1002 is applied with the bias restoring forcevector 1002 originating at the center of the pointer 210 (such that thecenter of the pointer is then the “origin position”) and directedtowards the center of the target shape 600. The bias restoring forcevector 1002 has a magnitude such that the bias restoring force vector1002 generally neutralizes the positional bias, but not so large thatthe magnitude of the bias restoring force vector 1002 causes otherproblems as described above. The bias restoring force vector 1002magnitude in some embodiments is equal to 16% of the maximum force valueof the plurality of users, but it will be understood that otherpercentages may be used.

Referring next to FIG. 11, an exemplary force diagram of the subgroupvectors 604, 606, 608 and the bias restoring force vector 1002 is shown.Shown are the first subgroup vector 604, the second subgroup vector 606,the third subgroup vector 608, the bias restoring force vector 1002, andthe force vector angle 1100.

For exemplary case of FIG. 11, all users are assumed to be providing themaximum user input, i.e. the maximum force value F_(max) is currentlyacting on the pointer 210. For the sum of all of the user intent vectormagnitudes equal to F_(max), i.e. the total force exerted by the group,each subgroup vector 604, 606, 608 then has a magnitude equal to 33% ofF_(max), i.e. 0.33*F_(max). For the pointer 210 located in the positionas shown in FIG. 10 and the bias restoring force vector 1002 havingreached the maximum magnitude defined as 16% of Fmax (0.16*Fmax), theforce vector angle (“A”) 1100 can be determined for the case where thebias restoring force vector 1002 has caused the sum of all forces toequal zero, i.e. the pointer 210 does not move.

To determine this, a geometric analysis of all force vectors iscalculated. The equilibrium equation for the three subgroup vectors 604,606, 608 and the bias restoring force vector 1002 is written, thensolved for the force vector angle 1100, “A”. By inspection, thehorizontal components of the first subgroup vector 604 and the thirdsubgroup vector 608 cancel, and are omitted from the equilibriumequation for clarity.0.33F _(max)=2*[0.33F _(max)*sin(A)]+0.16F _(max)After solving the equilibrium equation, the force vector angle 1100 “A”is approximately 15 degrees. This means, as the puck 210 moves upwardtowards the target 614 associated with answer choice “3”, the pointer210 will fall into a stalemate configuration (i.e. stop moving) when theforce vector angle 1100 “A” reaches approximately 15 degrees.

Referring next to FIG. 12, a detailed version of the exemplary targetarea 1000 of FIG. 10 is shown including geometric dimensions. Shown arethe first subgroup vector 604, the second subgroup vector 606, the thirdsubgroup vector 608, the bias restoring force vector 1002, the forcevector angle 1100, the hexagon dimension H 1202, and the pointerlocation dimension 1204.

The exemplary target area 1200 illustrates the pointer 210 positionrelative to the hexagon target shape 600 for the force equilibriumarrangement shown in FIG. 11.

For a top triangular portion of the hexagon target shape 600 bounded bythe top three vertices (answer choices 208 labeled “2”, “3” and “4”),the triangular portion has a height equal to the hexagon dimension H1202 as defined by the hexagon geometry. At the equilibrium positionpreviously defined, the pointer 210 is at the pointer 210 location. Thepointer location is defined by the pointer location dimension 1204(“h”), a vertical distance between the base of the triangular portionand the center of the pointer 210. For the force vector angle 1100previously determined (approximately equal to 15 degrees), the pointerlocation dimension 1204, “h”, is approximately % of the hexagondimension 1202, “H”.

Therefore, in the exemplary force system shown in FIGS. 10-12,equilibrium will happen when the puck 210 is approximately half thevertical distance between the opposing preferred targets 614 (answerchoices labeled “2” and “4”) and the preferred target 614 associatedwith answer choice “3”, as shown in FIG. 12. Thus, by configuring theCCS 102 server to introduce a mild restoring force vector that has amaximum magnitude of only 16% of F_(max), the system 100 will generallyneutralize positional bias when the puck 210 reaches approximately thevertical midpoint among the preferred targets 614 in question. At thispoint, the puck 210 will be in a stalemate configuration, as it shouldbe if the swarm is split into three equal factions pulling towards threedifferent preferred targets 614. The only way for the stalemate to bebroken is if the group negotiates in real time, members of variousfactions defecting to other factions or forming new factions to pulltowards alternate targets, thus shifting the puck 210 out of thestalemate.

The same restoring force method will achieve a similar bias blockingeffects when five factions are pulling towards five different preferredtargets. Because the force magnitude levels are lower when split amongfive factions, even lower forces are needed to result in equilibrium. Inthis way, bias restoring force vectors which are low enough in valuethey are hardly noticeable by users can be applied to mitigate thelikely positional biasing configurations in the standard hexagonaltarget layout. For layouts with larger numbers of choices, the samemethod can be applied, the forces sized for the configuration inquestion.

It should be noted that because this is a real-time closed-loop system,the users generally swing their magnet icons 306 away from their desiredtargets to achieve higher leverage when trying to block an undesireddecision. By swinging magnet icons 306 to amplify leverage, usersself-correct against position bias, reducing the magnitude of theeffect. This means in practice, the stalemate configuration will be evenfurther from the biased target than shown in FIG. 12. That's a goodthing, since the ideal configuration is such that the stalemateconfiguration is nearly equidistant from the three preferred targets.

As shown above, the magnitude of the bias restoring force vector 1002 issized based at least in part on the total possible force (the maximumforce value) the current swarm can apply to the puck 210. This maximumforce value is termed F_(max). In some embodiments the magnitude of thebias restoring force vector 1002 is a function of the maximum forcevalue. In one embodiment the function is 16% of F_(max). In many casesthe resulting bias restoring force vector 1002 magnitude is larger thanit needs to be because the full swarm is not engaged in pulling on thepuck 210 at a given moment in time. Thus, a more refined method thatkeeps the bias restoring force vector 1002 magnitude even lower and thusless disruptive has the CCS 102 software use a sum of the user inputvectors that are being applied to the puck 210 at any moment in time asthe basis for the maximum bias restoring force vector 1002 magnitude.

The summed force is termed F_(sum), with F_(sum) defined as the scalarsum of all the user input vectors applied to the puck 210 at eachtime-step, as determined by the CCS 102 software. Thus the scalar sum isthe absolute value of the currently applied user input vectors,indicating how much pull is being applied to the puck 210 regardless ofdirection.

Use of F_(sum) to calculate the bias restoring force vector 1002 in lieuof F_(max) is highly effective for it gives an indication of the swarm'scurrent total pull regardless of whether some members' pulls arecanceling out other members' pulls due to opposing directions. In someembodiments the magnitude of the bias restoring force vector 1002 is afunction of the summed force F_(sum). In one embodiment the function is16% of F_(sum). If all users are pulling and split into three factions,the value will end up the same as the 16% of F_(max) describedpreviously, but for other cases where participation is not full, a moreefficient and lower value will result. This will eliminate the situationwhere not all swarm members are participating and so the swarm strugglesto overcome the restoring force when going to a valid target.

Another alternate method is configured such that the CCS 102 softwaredetermines the actual number of factions/subgroups in the swarm at eachtime step, this determination made by comparing the user intent vectorsand identifying groupings of users who have user intent vectordirections that fall within a certain threshold limit of each other.This threshold limit could be, for example, and angular range of 20degrees. Thus the CCS 102 software compares the user intent vectors fromall users in the swarm and finds grouping of users whose user intentvector directions all fall within a 20 degree range of each other. Eachof these groupings is counted as a faction/subgroup within the swarm.The CCS 102 software thus maintains a faction tally at each time-step,the faction tally including the subgroups and the users in eachsubgroup.

If there are only 1 or 2 factions, the CCS 102 software is configured tonot apply the bias restoring force vector 1002 because positional biascannot happen with less than 3 factions. If there are 3 or 5 factions,the CCS 102 can be configured to employ the positional bias methodsdescribed above. This said, the bias restoring force vector 1002 valuecan also be configured to be lower for a 5 faction tally as compared toa 3 faction tally because the factions each have a smaller percentage ofthe users in the swarm.

If there are 4 or 6 factions, the CCS 102 software can be configured tonot apply the bias restoring force vector because in the 4 or 6 factionconfiguration, positional bias effects are small or nonresistant forhexagon layouts. Of course, because this is layout dependent, the CCS102 software can be configured to turn on or turn off bias restoringforce vectors, or resize bias restoring force vectors, based on thenumber of factions, to appropriately combat positional bias for each ofa variety of different target shapes and/or layouts.

While many embodiments are described herein, it is appreciated that thisinvention can have a range of variations that practice the same basicmethods and achieve the novel collaborative capabilities that have beendisclosed above. Many of the functional units described in thisspecification have been labeled as modules, in order to moreparticularly emphasize their implementation independence. For example, amodule may be implemented as a hardware circuit comprising custom VLSIcircuits or gate arrays, off-the-shelf semiconductors such as logicchips, transistors, or other discrete components. A module may also beimplemented in programmable hardware devices such as field programmablegate arrays, programmable array logic, programmable logic devices or thelike.

Modules may also be implemented in software for execution by varioustypes of processors. An identified module of executable code may, forinstance, comprise one or more physical or logical blocks of computerinstructions that may, for instance, be organized as an object,procedure, or function. Nevertheless, the executables of an identifiedmodule need not be physically located together, but may comprisedisparate instructions stored in different locations which, when joinedlogically together, comprise the module and achieve the stated purposefor the module.

Indeed, a module of executable code could be a single instruction, ormany instructions, and may even be distributed over several differentcode segments, among different programs, and across several memorydevices. Similarly, operational data may be identified and illustratedherein within modules, and may be embodied in any suitable form andorganized within any suitable type of data structure. The operationaldata may be collected as a single data set, or may be distributed overdifferent locations including over different storage devices, and mayexist, at least partially, merely as electronic signals on a system ornetwork.

While the invention herein disclosed has been described by means ofspecific embodiments, examples and applications thereof, numerousmodifications and variations could be made thereto by those skilled inthe art without departing from the scope of the invention set forth inthe claims.

What is claimed is:
 1. A real-time collaborative control system for agroup of users in real-time collaborative control of a graphical object,comprising: a plurality of computing devices, each user of the group ofusers associated with one of the plurality of computing devices, eachcomputing device comprising a communications infrastructure coupled toeach of a processor, a memory, a display, and a user interfaceconfigured to receive input from a user in real-time; a collaborativeintent application stored on each memory and configured to run on eachprocessor to: convey to the associated user, using the display, a groupdecision-making opportunity including a prompt and a set of answerchoices corresponding to the prompt, wherein each of the answer choicesis associated with one of a plurality of graphical target locationsdisplayed on the display; receive, repeatedly in real-time, user inputof a user intent vector having a direction and a magnitude; send,repeatedly in real-time, the user intent vector to a collaborationserver; receive, repeatedly in real-time, an indication of motion of thegraphical object from the collaboration server; and present, repeatedlyin real-time, the graphical object at a location on the display relativeto an origin location, wherein the origin location is approximatelycentered between the plurality of graphical target locations displayedon the display, wherein the displayed location is based at least in parton the indication of motion and is substantially synchronized with thelocation displayed by other computing devices of the plurality ofcomputing devices; and the collaboration server in networkedcommunication with the plurality of computing devices, the collaborationserver including a server processor and a server memory, the serverprocessor configured to run a collaboration mediation application storedon the server memory, the collaboration mediation application configuredrun on the server processor to: receive, repeatedly in real-time, theuser intent vectors; determine, repeatedly in real-time, a group forcevalue based on the user intent vectors; determine a bias restoring forcevector having a restoring force magnitude and a restoring forcedirection, the restoring force magnitude being a function of the groupforce value and wherein the restoring force direction is from thegraphical object to the origin location; determine, repeatedly inreal-time, a group intent vector from the user intent vectors and thebias restoring force vector; and sending, repeatedly in real-time, theindication of motion of the graphical object to the plurality ofcomputing devices, the indication of motion based at least in part onthe group intent vector, whereby a closed-loop system is formed betweenthe collaboration server and the plurality of computing devices.
 2. Thereal-time collaborative control system of claim 1, wherein the groupforce value is determined at least in part based on a number of users inthe group.
 3. The real-time collaborative control system of claim 1,wherein the function of the group force value is a linear scale factorof the group force value.
 4. The real-time collaborative control systemof claim 3, wherein the linear scale factor is a value of approximately16 percent.
 5. The real-time collaborative control system of claim 1,wherein the group force value is a sum of the magnitudes of a pluralityof the user intent vectors received by the collaboration server.
 6. Thereal-time collaborative control system of claim 5, wherein the functionof the group force value is a linear scale factor of the group forcevalue of approximately 16 percent.
 7. The real-time collaborativecontrol system of claim 1, wherein the restoring force magnitude is zerowhen the graphical object is displayed at the center of the targetshape, and the restoring force magnitude increases as a distance betweenthe graphical object and the center of the target shape increases. 8.The real-time collaborative control system of claim 7, wherein therestoring force magnitude reaches a maximum value when the distance isat least equal to a threshold distance.
 9. The real-time collaborativecontrol system of claim 1, the display including a target shapeincluding a plurality of graphical target locations located at verticesof the target shape.
 10. The real-time collaborative control system ofclaim 9, wherein the target shape is a hexagon shape.
 11. The real-timecollaborative control system of claim 1, wherein the collaborationserver is configured to repeatedly compute at least one faction tally,each faction tally indicating a number of user intent vectors that fallwithin an angular range associated with one of a plurality of answerchoices displayed on the user interfaces.
 12. The real-timecollaborative control system of claim 11, wherein the angular range is20 degrees.
 13. The real-time collaborative control system of claim 11,wherein the restoring force magnitude decreases with increasing numbersof subgroups.
 14. The real-time collaborative control system of claim11, wherein the collaboration server is further configured to repeatedlydetermine a number of user subgroups based on the plurality of factiontallies, each user subgroup associated with one of the plurality ofanswer choices.
 15. The real-time collaborative control system of claim14, wherein the restoring force magnitude is equal to zero for fewerthan three subgroups.
 16. The real-time collaborative control system ofclaim 14, wherein the restoring force magnitude is determined based on anumber of subgroups.
 17. A collaborative control system for enabling agroup of networked users to engage in the real-time collaborativecontrol of a graphical object, comprising: a plurality of computingdevices, each user of the group associated with at least one of theplurality of computing devices, each computing device comprising acommunications infrastructure coupled to a processor, a memory, adisplay, and a user interface configured to receive input from a userrepeatedly in real-time and send a representation of the user input to acollaboration server, the user input indicating a desired motion to beimparted on the graphical object, wherein the graphical object and aplurality of graphical target locations are displayed on each displayand the graphical object is located relative to an origin locationapproximately centered between the plurality of graphical targetlocations displayed on the display; and the collaboration server innetworked communication with the plurality of computing devices, thecollaboration server including a server processor and a server memory,the server processor configured to receive, repeatedly in real time, theuser input from the plurality of computing devices and from whichdetermine the resulting motion of the graphical object, and send anindication of the resulting motion to the plurality of computingdevices, wherein the determining the resulting motion is based at leastin part upon the inclusion of a restoring force that acts in a directionto pull the graphical object back towards the origin position, whereinthe restoring force increases with the distance of the at least onegraphical object from the origin position.
 18. The collaborative controlsystem of claim 17, wherein the restoring force is computed based atleast in part upon a number of users in the group, wherein an increasein the number of users results in an increase in the restoring force.19. The collaborative control system of claim 17, wherein each restoringforce is computed based at least in part upon a number of the userinputs used in determining that restoring force, wherein an increase inthe number of user inputs used in determining the restoring forceresults in an increase in the restoring force.
 20. The collaborativecontrol system of claim 17, wherein each user input is a vector andwherein each restoring force is computed based at least in part upon ascalar sum of the user inputs used in determining that restoring force,wherein an increase in the scalar sum of the user inputs results in anincrease in the restoring force.
 21. The collaborative control system ofclaim 17, wherein the user input is conveyed by tilting a mobile device.22. The collaborative control system of claim 17, wherein the userinterface of at least one computing devices is a touch screen, and userinput for the at least one touch screen user interface is conveyed byswiping the touch screen.
 23. The collaborative control system of claim17, wherein the graphical object is a first graphical object and userinput is conveyed by positioning a second graphical object relative tothe first graphical object.
 24. The collaborative control system ofclaim 23, wherein the second graphical object represents a magnet. 25.The collaborative control system of claim 17, wherein the determiningthe resulting motion is based on a physical simulation that includes atleast one mass value associated with the motion of the graphical object.26. The collaborative control system of claim 17, wherein thedetermining the resulting motion is based on a physical simulation thatincludes at least one damping value associated with the motion of thegraphical object.
 27. The collaborative control system of claim 17,wherein real-time is defined as approximately within the perceptuallimits of human cognition.